Library

Condition Monitoring and Diagnostic Engineering Management (COMADEM): A Bibliographic Index
B.K.N. Rao
COMADEM International, UK

COMADEM is a holistic, interdisciplinary, knowledge-based and proactive international platform for consulting practitioners and researchers from academia and industries to learn, interact, share, explore, exploit, innovate and derive maximum benefits. The purpose of this library is to provide a body of comprehensive and latest knowledge that is available for anyone to gainfully employ to discover, generate and disseminate new knowledge in this growing field.

American Management Association (1965). Zero Defects: Doing It Right the First Time. New York: American Management Association. OCLC 244134.

Algirdas Avizienis (1976). Fault-tolerant systems. IEEE Transactions on Computers, Vol.C-25, NO.12, December.

Almar Gunnarsson (1988). Maintenance of the steam turbines at Hellisheiði power plant. http://hdl.handle.net/1946/15198

Ackoff, R.L. (1989), From Data to Wisdom. Journal of Applied Systems Analysis. 16.

Amadi-Echendu J E (1990). Digital Signal Processing for Condition Monitoring and Diagnostic Engineering Management of Physical Plants and Processes. DPhil Thesis, University of Sussex, England 1990.

Alguindigue I.E., Loskiewicz-Buczak A., and Uhrig R.E., (1993). “Monitoring and diagnosis of rolling element bearings using artificial neural networks,” IEEE Transactions on Industrial Electronics, vol. 40, no. 2, pp. 209-217.

Allen, P.A. (1994), Case-Based Reasoning: Business Applications, Knowledge Engineering Systems, Communications of the ACM, 37(3): p. 40-42.

Aamodt, A. and E. Plaza (1994), Case-Based Reasoning: Foundational Issues, Methodological Variations and System Approaches. AI- Communications, 7(1): p. 39-59.

Alcorta García, E. and P.M. Frank, (1997). Deterministic nonlinear observer – based approaches to fault diagnosis: A survey.Control Engineering Practice. 5(5): p. 663 – 670.

Arts, R., Knapp, G. and Mann, L. (1998). Some aspects of measuring maintenance performance in the process industry. Journal of Quality in Maintenance Engineering, 4, No. 1, pp 6-11.

Ahmad A & Kothari DP, (1998), A review of recent advances in generator maintenance scheduling, Electric Power Components and Systems, 26(4), pp. 373{387}

Asiedu, Y.and Gu, P. (1998) ‘Product life cycle cost analysis: State of the art review’, International Journal of Production Research, Vol. 36, No. 4, pp. 883-908.

R. H. P. M. Arts, G. M. Knapp, and L. J. Mann, (1998). “Some aspects of measuring maintenance performance in the process industry,” Journal of Quality in Maintenance Engineering, vol. 4, pp. 6-11.

Albert H.C. Tsang, Andrew K.S. Jardine, Harvey Kolodny, (1999) “Measuring maintenance performance: a holistic approach”, International Journal of Operations & Production Management, Vol. 19 Iss: 7, pp.691 – 715

Ashley, K. (1999), Progress in Text-Based Case-Based Reasoning. in 3rd International Conference on Case-Based-Reasoning. Seeon, Germany.

Amit, R. and Zott, C. (2001). Value creation in e-business’, Strategic Management Journal, Vol. 22, pp. 493–520.

Al-Hussein, Maria (2000) An information model to support maintenance and operation management of building mechanical systems. Masters thesis, Concordia University.

Azuma, R., Baillot, Y., Behringer, R., Feiner, S., Julier, S. and MacIntyre, B. (2001), ‘Recent advances in augmented reality’, IEEE Computer Graphics and Applications 21(6), 34–47.

Andy Foerster (2001). A New Age of Remote Monitoring and Control. http://ecmweb.com/content/new-age-remote-monitoring-and-control.

Amberkar and B. Murray. (2002). Diagnostic strategies for advanced automotive systems.

Aditya Parida., Åhrén, T. and Kumar, U. (2003), Integrating maintenance performance with corporate balanced  scorecard, COMADEM 2003, Proceedings of the 16th International Congress, Växjö , Sweden, 27-29 August, pp. 53-9.

G. Aaseng, K. Cavanaugh, and S. Deb, (2003). “An Intelligent Remote Monitoring Solution for the International Space Station,” in Proceedings of the IEEE Aerospace Conference, New York, USA.

Aubin, B.R. (2004), Aircraft Maintenance: The Art and Science of Keeping Aircraft Safe, Society of Automotive Engineers, Inc.

Amadi-Echendu, J.E. (2004). Managing physical assets is a paradigm shift from maintenance. Engineering Management Conference, 2004. Proceedings. 2004 IEEE International  (Volume:3 )

Aditya Parida, Phanse, K. and Kumar, U. (2004). An integrated approach to design and development of e-maintenance system, Proceedings of VETOMEC – 3 and ACSIM – 2004, New Delhi, 6-9 December, pages 1141 – 7.

C. Angeli, (2004). “Online Fault Detection Techniques for Technical Systems: A Survey,” International Journal of Computer Science and Applications, vol. 1, no. 1, pp. 12-30.

Armstrong L., Kerr S. (2004) ‘Life Cycle Tools for Future Product Sustainability’, URS Corporation report, pp.23-36.

Adrian J. Xavier (2005). Managing Human Factors in Aircraft Maintenance through a Performance Excellence Framework. Masters Thesis, Embry-Riddle Aeronautical University.

PA Akersten (2006). E-Maintenance and Vulnerability. Proceedings of the 1st World Congress on Engineering Asset Management (WCEAM), Edited by Joseph Mathew, Jim Kennedy, Lin Ma, Andy Tan and Deryk Anderson, published by Springer-Verlag London Ltd.

Aditya Parida (2006). Development of multi-criteria hierarchical framework for maintenance performance measurement concepts, issues and challenges. University dissertation from Luleå tekniska universitet.

Aditya Parida (2006). Maintenance performance measurement system: Application of ICT and e – maintenance concepts. International Journal of COMADEM, 9(4), 30 – 34.

Alsyouf, I. (2006) Measuring maintenance performance using a balanced scorecard approach, Journal of Quality in Maintenance Engineering, Vol. 12 Iss: 2, pp.133 – 149.

K. B. Ariffin, (2007). “On Neuro-Fuzzy Applications for Automatic Control, Supervision, and Fault Diagnosis for Water Treatment Plant,” Ph.D. Thesis, Faculty of Electrical Engineering Universiti, Teknologi.

Abhinav Saxena (2007). Knowledge-based architecture for Integrated Condition-based Maintenance of Engineering Systems. PhD Thesis. Georgia University of Technology, USA.

Amadi-Echendu J E, Roger Willent, Kerry Brown, Jay Lee, Joe Mathew, Nalinakash Vyas and Bo-Suk Yang (2007). What is Engineering Asset Management?. n Proceedings 2nd World Congress on Engineering Asset Management and the 4th International Conference on Condition Monitoring, pages pp. 116-129, Harrogate, United Kingdom.

Adolfo Crespo Márquez (2007). The Maintenance Management Framework. Chapter 18: E-Maintenance Revolution, published by Springer, ISBN  978-1-84628-820-3

Arnaiz, A., Iung, B., Jantunen, E., Levrat, E. & Gilabert, E. (2007).
Dynaweb, a Web Platform for Flexible Provision of E-Maintenance Services.
Proceedings of the second World Congress on Engineering Asset Management (WCEAM) June 2007 Harrogate, UK.

Antonio Ginart, Doug Brown, Pat Kalgren and Michael J Roemer (2007). Self – Healing and Fault Accommodation for Power Electronics and Motor Drives. Proceedings of MFPT 61, USA.

Alsyouf, I. (2007) ‘e role of maintenance in improving companies’ productivity and profitability’ International Journal of Production Economics. Vol. 105, pp. 70-78.

Andrawus, J; Watson, J.; Kishk, M (2007) Wind Turbine Maintenance Optimisation: principles of quantitative maintenance optimisation. Wind Engineering, 31(2), 101-110.

Ariffin, Kasuma (2007) On neuro-fuzzy applications for automatic control, supervision, and fault diagnosis for watertreatment plant. Masters thesis, Universiti Teknologi Malaysia.

Andrew K.S. Jardine (2008).  View point: Evidence-based Asset Management. Maintenance Technology and Asset Management Magazine.

Ashraf W. Labib (2008). Next Generation Maintenance Systems (NGMS): Emerging Educational and Training Needs to support An Adaptive Approach To Maintenance Planning And Improve Decision Support. Proceedings of the 5th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies – CM and MFPT, 15-18 July 2008, Edinburgh, UK

Anne Garcia, Daniel Noves, Philippe Clearmont (2008). Knowledge distribution in e-maintenance activities. Proceedings of the 2008 conference on Collaborative Decision Making: Perspectives and Challenges. Pages 344-355, IOS Press Amsterdam, The Netherlands.

Amit Deshpande, Sri Atluru, Sam Huang and John P. Snyder (2008). Smart Machine Supervisory System: Concept, Definition and Application. Proceedings of MFPT 62, USA.

Arnaiz, A., Jantunen, E., Adgar, A. & Gilabert, E. (2008). A dynamic platform for e-maintenance upgrade within a three-layer operation integration. Euromaintenance 2008. Conference on asset management & production reliability. Bryssel, 8-10 April 2008. EFNMS; BEMAS.

Alan Wilson, “Asset Maintenance Management: A Guide to Developing Strategy & Improving Performances”, Published by Inc. in 2008, 2nd Revised edition, Chapter 32, ISBN 13: 9780831133313.

Assaad Krichene, rtaza Barlas and Scott Valentine (2009). Aircraft Operational Improvements Gained Through Knowledge Discovery. Proceedings of MFPT 2009, USA.

Armin Azarian (2009). A new modular framework for automatic diagnosis of fault, symptoms and causes applied to the automotive industry, Doctoral Thesis, Karlsruhe Institut für Technologie (KIT) and to the Ecole Doctorale Sciences des Métiers de l’Ingénieur (ED 432) at the Ecole Nationale Supérieure d’Arts et Métiers.

Arab A, Ismail N and Lee L-S (2009), Simulation-Based scheduling for e-maintenance systems considering remaining useful life of equipments.
http://pure.ltu.se/portal/files/4922844/Article.pdf

Abd Kadir Bin Mahamad (2010). Diagnosis, Classification and Prognosis of Rotating Machine using Artificial Intelligence. Doctoral Thesis, Kumamoto University, Kumamoto, Japan.

Andreas Gössling, Stefan Theurich and Martin Wollschlaeger. (2010). Model-based data acquisition for improved eMaintenance strategies. Proceedings of the First International Workshop and Congress on eMaintenance (Eds: U.Kumar, R.Karim and A. Parida), June 22 – 24, held in Lulea University of Technology, Sweden.

Anicic D,, P.Fodor, S.Rudolph, R.Stühmer,N.Stojanovic und R.Studer (2010): “A Rule-Based Language for Complex Event Processing and Reasoning,” In: RR 2010: Proceedings of the Fourth International Conference on Web Reasoning and Rule Systems, Italy

Amit Deshpande, Kevin Bevan and Mark Doyle (2010). Cloud Computing Architecture for Manufacturing Data Management. Proceedings of MFPT 2010, USA.

Ahmet Soylemezoglu, S. Jagannathan and Can Saygin (2010). Mahalanobis Taguchi System (MTS) as a prognostic tool for rolling element bearing failures. J. Manuf. Sci. Eng. 132(5), Oct.

Alireza Arab Maki and Navid Shariat Zadeh (2010). Design and Development of Knowledge-base System based on common KADS Methodology. Masters Thesis, School of Industrial Engineering and Management. Royal Institute of Technology, Sweden.

Abdulrasool S M, Mishra R, Khalaf H and Alseddiqi M. (2011). Blended Learning Tools for Teaching and Training in Higher Order of Thinking Skills (HOTS) within Mechanical Engineering Education. In: COMADEM2011, the 24th International Congress on Condition Monitoring and Diagnostics Engineering Management, 30/5-1/6/2011, Stavanger, Norway.

Adriano A. Santos, Zita A. Vale and Rui Abreu. (2011). E-Maintenance platform applied to a logistics vehicle system, Sistemas, Cibernética E Informática Volumen 8 – Número 2.

Abdel Bayoumi and Nicholas Goodman (2011). Object-Based Simulation for Preventative Maintenance Planning. Proceedings of MFPT 2011, USA.

Allen Revels (2011). Systems Integration and Planning for Disparate Technologies. Proceedings of MFPT 2011, USA.

Alberto Portioli-Staudacher, Marco Tantardini, (2012) “Integrated maintenance and production planning: a model to include rescheduling costs”, Journal of Quality in Maintenance Engineering, Vol. 18 Iss: 1, pp.42 – 59.

Aditya Parida, Ramin Karim and Uday Kumar (Guest Eds.). (2013). International Journal of COMADEM, Special Issue on eMaintenance, Vol. 16, No. 4., October.

Abdessamad Mouzoune (2013). Towards an intelligence – based conceptual framework for e-maintenance, 8th International Conference on Intelligent Systems: Theories and Applications (SITA) held in Rabat, pages 1 – 8.

Abdessamad Mouzoune and Saoudi Taibi (2014). Introducing E – Maintenance 2.0, International Journal of Computer Science and Business Informatics, Vol. 9, No. 1. January.

Alexandros N. Iliopoulos; Christof Devriendt; Sokratis N. Iliopoulos; Danny Van Hemelrijck (2014). Continuous fatigue assessment of offshore wind turbines using a stress prediction technique. Proc. SPIE 9064, Health Monitoring of Structural and Biological Systems 2014, 90640S (9 March 2014); doi: 10.1117/12.2045576

Adrian Chioreanu, Stelian Brad, Cosmin Porumb & Sanda Porumb (2014). E-maintenance ontology-based approach for heterogeneous distributed robotic production capabilities, International Journal of Computer Integrated Manufacturing,

Alessandro Cannata, Stamatis Karnouskos and Marco Taisch. Dynamic E-Maintenance in the ERA of SOA-Ready device dominated industrial environments. http://www.socrades.eu/Documents/objects/file1259605112.65

Al-Jumali M I, Rauhala V, Jonsson K, Karim R and Parida A. (2014). Chapter 5: Aspects of Data Quality in eMaintenance: A Case Study of Process Industry in Northern Europe. In Engineering Asset Management (edited by J. Lee et al). Published by Springer-Verlag London.

D. G. Aggelis; A. C. Mpalaskas; T. E. Matikas; D. Van Hemelrijck (2014). Acoustic emission signatures of damage modes in concrete. Proc. SPIE 9062, Smart Sensor Phenomena, Technology, Networks, and Systems Integration 2014, 90620P (8 March 2014); doi: 10.1117/12.2044750

Ali Abou-Elnour; A. Thabt; S. Helmy; Y. Kashf; Y. Hadad; M. Tarique; Ossama Abo-Elnor (2014). Integrated wireless sensor network and real time smart controlling and monitoring system for efficient energy management in standalone photovoltaic systems. Proc. SPIE 9061, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014, 90611Y (10 April 2014); doi: 10.1117/12.2046062

Ashwin Srinivasan and Bryan Kurey (2014). Creating a Culture of Quality. Harvard Business Review. April.

API eMaintenance website: http://www.api.org/events-and-training/api-emaintenance

Arthi Venkataraman. Journey toward zero defects challenges, best practices and testing models. Published by Wipro. http://www.wipro.com/Documents/resource-center/library/Journery_towards_zero_defects.pdf

Ali Rastegari (2015). Strategic Maintenance Development focusing on use of Condition Based Maintenance in Manufacturing Industry. Malardalen University Licentiate Thesis 213. Sweden.

Alsyouf, I. (2009). Maintenance Practices in Swedish Industries: Survey Results. International Journal of Production Economics, 121(2), 133-149

Barlow R E and Hunter L C (1960). Optimum preventive maintenance policies. Operation Research, 8, pages 90 – 100.

Brown M and Proschan F (1962). Imperfect Maintenance. In IMS Lecture Note Monograph Ser. 2, Survival Analysis, Inst.. Math.. Statist., Hayword, Calif. Pages 179 – 188.

Bonissone, P. and R. Tong (1985), Editorial: Reasoning with Uncertainty in Expert Systems. International Journal of Man-Machine Studies. 22: p. 241-250.

Blanchard, B. S. (1988) ’The measures of a system-performance, life-cycle cost, system effectiveness, or what?’, National Aerospace and Electronics Conference (NAECON 1988), 23-27 May 1988, Dayton, OH, USA.

Bogdan Zoltowski (1989). Computer aided machine health monitoring, COMADEM 89 International, pages 88 – 92.

T. Barsalou and G. Wiederhold (1989). Knowledge based mapping of relations into objects. In Proceedings of Computer Aided Design.

Bernhardsen, T. (1990) ‘Geographic Information Systems’, Arendal, Norway: Viak IT.

Bertele, Otto V. (1990). “Why Condition Monitor?” 3rd International Conference on Condition Monitoring. October 15-16.

M. Basseville and I. V. Nikiforov, (1993). Detection of Abrupt Changes: Theory and Application, PTR Prentice Hall, Englewood Cliffs, NJ.

Ben-Daya, M.; Duffuaa, S.O. (1995). ‘Maintenance and quality: the missing link’, Journal of Quality in Maintenance Engineering, Vol. 1 No. 1, pp. 20-6.

J.B. Bowles, and C.E. Pelaez, (1995). “Application of fuzzy logic to reliability engineering,” Proceedings of the IEEE, vol.83, no.3, pp.435-449, March.

Baker, R.D. and Scarf, P.A. (1995). “Can models fitted to small data samples lead to maintenance policies with near-optimum cost?”, I.M.A. Journal of Mathematics Applied in Business and Industry 6, 3-12.

G. Byrne, D. Dornfeld, I. Inasaki, G. Ketteler, W. Konig and R. Teti, (1995). “Tool conditioning monitoring-The status of research and industrial application”, Annals of the CIRP, Vol. 44, No. 2, pp. 541-567.

Burrows J.H., (1996). ‘Predictive and Preventive Maintenance of Mobile Mining Equipment Using Vibration Data”, Masters Thesis, Department of Mining Engineering, McGill University, Montreal.

B.Bacca (1997). “A Successful approach to implementing a CMMS. Sandia National Laboratories. MT Magazine Nov. http://www.mt-online.com

Booth C. and McDonald J.R., (1998). “The Use of Artificial Neural Networks for condition Monitoring of Electrical Power Transformers,” Neurocomputing, vol. 23, pp. 97-109.

I. J. Busch-Vishniac. (1999). Electro-mechanical Sensors and Actuators. Mechanical Engineering Series, Series Editor, Frederic F. Ling, Springer.

Y. Li, S. Billington, C. Zhang, T. Kurfess, S. Danyluk, and S. Liang, (1999). “Adaptive prognostics for rolling element bearing condition,” Mechanical Systems and Signal Processing, vol. 13, pp. 103-113.

C. S. Byington and A. K. Garga, (2000). “Data Fusion for Developing Predictive Diagnostics for Electromechanical Systems,” inHandbook of Sensor Fusion: L. D. Hall and J. Llinas (Eds.), CRC Press, pp. 23-1 – 23-31.

P. Ball and D. Fuessel. (2000). Close-loop fault diagnosis based on a nonlinear process model and automatic fuzzy rule generation. Engineering Application of Artificial Intelligence, 13:695–704.

Burkhard, H.-d. and M.M. Richter (2001), ed. On the Notion of Similarity in Case Based Reasoning and Fuzzy Logic. Springer-Verlag: London.

Blanco, A., Delgado, M., and Pegalajar, M.C. (2001). “A real-coded genetic algorithm for training recurrent neural networks”, Neural Networks, 14 pp.93-105.

Bonissone P and Goebel K (2002). When will it break? A hybrid soft computing model to predict time-to-break margins in paper machines. Proceedings of SPIE 47th Meeting. International Symposium on Optical Science and Technology, vol. 4787, 53 – 64.

Bengtsson, M., (2002), Condition Based Maintenance on Rail Vehicles”, IDPMTR 02:06.

Baumeister J., Seipel D.,(2002). Diagnostic Reasoning with Multilevel Set–Covering Models, In Proceedings of the 13th International Workshop on Principles of Diagnosis (DX-02), Semmering, Austria.

Bo Tao, Han Ding and Xiong, Y.L. (2003). IP sensor and its distributed networking application in e-maintenance. Systems, Man and Cybernetics, 2003. IEEE International Conference on  (Volume:4 ), Page(s): 3858 – 3863 vol.4.

C. S. Byington, P. W. Kalgren, R. Johns, and R. J. Beers, (2003). “Embedded diagnostic/prognostic reasoning and information continuity for improved avionics maintenance,” in AUTOTESTCON 2003. Proceedings of IEEE Systems Readiness Technology Conference, 22-25 Sept. 2003, Anaheim, CA, USA, pp. 320-9 BN – 0 7803 7837 7.

Barlas, I. (2004), Case-Based Temporal Reasoner. Self-Evolving Maintenance Knowledge Bases: Navy SBIR FY2004.1,Navy SBIR FY2004.1, Intelligent Automation Systems,Inc.

Byington, C.S. Kalgren, P.W. ; Dunkin, B.K. ; Donovan, B.P. (2004). Advanced diagnostic/prognostic reasoning and evidence transformation techniques for improved avionics maintenance. Aerospace Conference, 2004. Proceedings. 2004 IEEE  (Volume:5 ).

J. Baptiste (2004). A case study of remote diagnosis and e-maintenance information system, e-Proceedings of Intelligent Maintenance System, 15-17 July, Arles, France.

Bansal, D., Evan, D.J., Jones, B., (2004). “A real-time predictive maintenance system for machine systems,” International Journal of Machine Tools & Manufacture, vol. 44, pp. 759-766.

Bartoletti, C., Desiderio, M., Di Carlo, D., Fazio, G., Muzi, F., Sacerdoti, G., Salvatori, F., (2004). “Vibro-acoustic techniques to diagnose power transformers,” IEEE Transactions on Power Delivery, vol.19, no.1, pp. 221-229.

N. Bolf, (2004). “Application of infrared thermography in chemical engineering,” Kemija u industriji/Journal of Chemists and Chemical Engineers, vol. 53, pp. 549-555.

C. D. Bocaniala and J. Sa da Costa, (2004). “Tuning the Parame-ters of a Fuzzy Classifier for Fault Diagnosis. Hill- Climbing vs Genetic Algorithms,” Proceedings of the 6th Portuguese Conference on Automatic Control, Faro, 7-9 June, pp. 349-354.

C. D. Bocaniala, J. Sa da Costa and V. Palade, (2004). “A Novel Fuzzy Classification Solution for Fault Diagnosis,” International Journal of Fuzzy and Intelligent Systems, Vol. 15, No. 3-4, pp. 195-206.

J. Biteus, (2005). “Distributed Diagnosis and Simulation Based Residual generators,” Ph.D. Thesis, Vehicular Systems-Department of Electrical Engineering, Linkopings Universitet, Linkoping.

D. Bansal, D. J. Evans, and B. Jones, (2005). “Application of a real-time predictive maintenance system to a production machine system,” International Journal of Machine Tools and Manufacture, vol. 45, pp. 1210-1221.

Brandon Rasmussen (2005). Equipment Condition Assessment. Proceedings of the 5th EPRI International Conference on Maintenance: Maintaining the balance between maintenance costs and plant reliability.

Bugli, N. and Green, G., “Performance and Benefits of Zero Maintenance Air Induction Systems,” SAE Technical Paper 2005-01-1139, 2005, doi:10.4271/2005-01-1139.

Bernie Cook and Joe Mosteller (2005). Maintenance Excellence Program: Capturing Knowledge to Train a Replacement Workforce. Proceedings of the 5th EPRI International Conference on Maintenance: Maintaining the balance between maintenance costs and plant reliability.

R.E. Brown and B.G. Humphrey, (2005). “Asset management for transmission and distribution,” IEEE Power and Energy Magazine, vol.3, no.3, pp. 39-45, May-June.

Bartholomew-Biggs, M., Christianson, B., & Zuo, M. (2006). Optimizing Preventive Maintenance Models, Computational Optimization Applications, 261 – 279.

Bangemann T, Rebeuf X, Reboul D, Schulze A, Szymanski J, Thomessee J P, Thron and M, Zerhouni N (2006). PROTEUS- Creating distributed maintenance systems through an integration platform. Comput Ind 57(6) 539 – 551.

Ballesteros-Tajadura, R.; Velarde-Suarez, S.; Hurado-Cruz, J.T., (2006). “A predictive maintenance procedure using pressure and acceleration signals from a centrifugal fan,” In Applied Acoustics, vol. 67, no. 1, pp. 49-61.

C. M. Bishop. (2006). Pattern Recognition and Machine Learning. Springer.

BSI (2007) ‘Maintenance Key Performance Indicators’, British Standards Institution.

Brian Larder (2007). Managing Equipment Performance and Reliability with Data – Driven Tools. Proceedings of MFPT 61, USA.

Barreto L., Anderson H., Anglin, A., Tomovic, C. (2007) ‘Product Lifecycle Management in Support of Green Manufacturing: Addressing the Challenges of Global Climate Change’, Proceedings of ICCPR2007: International Conference on Comprehensive Product Realization, June 18-20 2007, Beijing, China.

Bouachera, T, Kishk, M and Power, L (2007) Towards A generic framework for whole life costing in the oil industry. In: Boyd, D (Ed) Procs 23rd Annual ARCOM Conference, 3-5 September 2007, Belfast, UK, Association of Researchers in Construction Management, 863-871.

Branko Glisic, Daniele Inaudi (2007). Fibre Optic Methods for Structural Health Monitoring. SBN: 978-0-470-06142-8, Wiley.

BSI P. (2008) ‘PAS 55-2: asset management, Part 2: Guidelines for the application of PAS 55-1’, British Standards Institution.

Balko W, Dabrowski Z and Kicinski J (2008). Non-linear effects in technical diagnostics. Polish Academy of Sciences, Institute of Sustainable Technologies, Warsaw.

Bill Nickerson (2009). Wireless Power for Wireless Sensors. Proceedings of MFPT 2009, USA.

S-E Björling and Uday Kumar (2009). ICT Concepts for Managing Future Challenges in E-maintenance, COMADEM 2009, San Sebastian, Spain.

Bob Randal (2009). New Signal Processing Techniques for Advanced Machine Diagnostics and Prognostics. Proceedings of MFPT 2009, USA.

Borquet S. and Leonard O., (2009). Coupling principal component analysis and Kalman filtering algorithms for on-line aircraft engine diagnostics, Control Engineering Practice, volume (17), page 494-502.

BS EN 13306:2010. Maintenance. Maintenance Terminology. British Standards Institution.

Biswal M and Parida A (2010). An integrated approach for e-Maintenance: Opportunities and Challenges, The 1st international workshop and congress on eMaintenance 2010, 22-24 June, Luleå, Sweden

Buyya, R., Broberg, J. and Goscinski, A. (2010) ‘Cloud Computing: Principles and Paradigms’, John Wiley & Sons.

Baykut, Mert (2011). Evaluation of Lean Systems in Rail Maintenance Operations. Masters Thesis, Cleveland State University.

Basim Al Najjar (2011). eMaintenance decision support system: Case studies for securing production process and following up maintenance contribution in company business. Proceedings of COMADEM 2011 published by COMADEM International.

Bill Nickerson, John Munro and Wayne Manges (2011). Trustworthy Wireless Sensors. Proceedings of MFPT 2011, USA.

Bailey Brian Keith (2012). Fault Diagnosis via Univariate Frequency Analysis Monitoring: A Novel Technique applied to a Simulated Integrated Drive Generator. Master’s Thesis, University of Tennessee.

Bartolomei, J.E., Hastings, D.E., Neufville, R. de and Rhodes, D.H. (2012), “Engineering Systems Multiple-Domain Matrix: An organizing framework for modeling large-scale complex systems”, Systems Engineering, Vol. 15 No. 1, pp. 41–61

Budhaditya Hazra and Sriram Narasimhan (2013). Rotating Machinery Diagnosis Using Synchro-Squeezing Transform Based Feature Analysis. Proceedings of the Joint Conference MFPT 2013 and ISA’s 59th International Instrumentation Symposium, May, Cleveland, Ohio.

Basim Al Najjar. Dynamic eMaintenance: Applying eMaintenance decision support system (CMDSS) in Case companies.
http://www.emaintenance.se/artiklar/eMDSS,%207th%20MIMAR2011,%20Cambrig,%20UK.pdf

Bruno P. Leao and Takashi Yoneyam (2013). Performance Metrics in the Perspective of Prognosis Uncertainty. Annual Conference of the Prognostics and Health Management Society.

Bloch, H.P. & Geitner, F.K. (1983). Machinery Failure Analysis and Troubleshooting. Gulf. Houston, Texas.

Bergmann, R., Althoff, K.-D., Breen, S., Göker, M., Manago, M., Traphöner, R., and Wess, S. (2003). Developing industrial case-based reasoning applications: The INRECA methodology. Springer LNAI 1612.

Barrenetxea, R., Prahbur, B., Gadh, R., Asad, M. (2007). “Wireless Industrial Monitoring and Control using a Smart Sensor Platform”.  IEEE Sensors Journal. 15(2), 34-38.

U S Chakravarthy and J Minker (1982). Processing multiple queries in database systems. Database Engineering, 5(3), 38 – 44.September.

CIGRE WG 12-05, 1983: An international survey on failures in large power transformers. CIGRE ELECTRA, 88, 21-48.

Christer, A.H., (1984). “Operational research applied to industrial maintenance and replacement,” Developments in Operational Research, pp. 31-58.

Courrech, J., “Condition Monitoring of Machinery”, Shock and Vibration Handbook 3rd edition McGraw-Hill, 1988.

Cooke, R.M. (1991). Experts in uncertainty. Oxford University Press, New York, 321 pp.

G. Clark, P. Mehta and T. Thomson (1992). Application of knowledge-based systems to optimised building maintenance management. Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Lecture Notes in Computer Science Volume 604, 1992, pp 69-78.

Cooper, Simon D. (1993) Measurement for the management of software maintenance. Doctoral thesis, Durham University.

Cutifani, M., Quinn, B. and Gurgenci, H. (1996).  “Increased Equipment Reliability, Safety and Availability Without Necessarily Increasing The Cost of Maintenance”, Mining Technology Conference, Freemantle WA 10- 11 September, Published by Cooperative Research Center for Mining Technology.

L. Colby, T Griffin, L. Libkin, I. Mumick and K. Ross (1996). Algorithms for deferred view maintenance. In Proceedings of ACM SIGMOD 1996 International conference on Management of Data, pages 469 – 480.

Collacott, R.A. (1997) Mechanical fault diagnosis and condition monitoring, Chapman and Hall Ltd., London.

Chen, F. (1997). Issues in the Continuous Improvement Process for Preventive Maintenance: Observations from Honda, Nippondenso, and Toyota. Production and Inventory Management Journal, 13-17.

Case, J. (1998). Using Measurement to Boost Your Unit’s Performance. Harvard Management Update, Vol. 3, pp. 1-4.

Christopher J C Burges (1998). A tutorial on support vector machines for pattern recognition. Data mining and Knowledge discovery, 2, pages 121 – 167.

O. Chandroth and W. J. Staszewski, (1999). “Fault detection in internal combustion engines using wavelet analysis,” in COMADEM ’99, Chipping Norton, pp. 7-15.

J. Chen and R. J. Patton, (1999). Robust Model-Based Fault Diagnosis for Dynamic Systems, Kluwer Academic, Boston, MA.

Cross GJ (2000). How e-Business is transforming supply chain management. J Bus Strateg 21: 36 – 39.

Campbell, J D. and Andrew K.S. Jardine.(2001). Maintenance Excellence. New York: Marcel Dekker Incorporated.

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746.    Rabbani, M., Noroozi, S., Vinney, J. and Rao, B.K.N. (2004). Application of Hybrid FEA and ANN for Health Monitoring of Aerospace Structures. Presented and published in the Proceedings of COMADEM 2004.

747.    Relational database for maintenance information for complex systems (2004). US Patent: US 6829527 B2. http://www.google.com/patents/US6829527

748.    Rao, B.K.N. (2005). Advances in Rotating Machinery and Components Failure Diagnostics: A COMADEM Literature Survey. Paper presented and published in the COMADEM 2005 International Congress held at the Cranfield University.

749.    Roger LaPlante and Anna Liisa Van Mantgem (2005). Increased Productivity, Reliability, and Accuracy at Lower Cost: Applying the Proven Benefits of Electronic Performance Support Technology to Power Plant Maintenance. Proceedings of the 5th EPRI International Conference on Maintenance: Maintaining the balance between maintenance costs and plant reliability.

750.    Rabbani, M., Noroozi, S., Vinney, J., Shiraz Kia, S. and Rao, B.K.N. (2006). Inverse Identification of Load using RBF Neural Network and Structural Response Data. Presented and published in the Proceedings of COMADEM 2006.

751.    Rao, B.K.N. (2006). Toward the Universal Theory of Failure. Key Note paper presented and published in the Proceedings of COMADEM 2006, Published by the Lulea University of Technology, Sweden. Pp. 85-101.

752.    Rosmaini Bin Ahmad (2007). Development of Decision Model for Maintenance Analysis of Non-Repairable Component by considering the External Factor. Universiti Sails Malaysia.

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754.    Rao, B.K.N., Orafige, I.A. and Obeid, N.A. (2008). Failure Diagnosis through Virtual Reality. Presented and published in the Proceedings of COMADEM 2008. Pp. 391-404.

755.    Ron Shroder, Nick Frankle and  Sam Boykin (2008). Economic Modeling for Prognostic Health Management. Proceedings of MFPT 62, USA.

756.    Rao, B.K.N. (2008). Challenging Issues in Condition Monitoring and Failure Diagnosis of Modern Complex Systems. Key Note paper presented and published at the International Symposium on Test Automation and Instrumentaiton (ISTAI 2008) held in Beijing, PRC in November. Pp. 31-37.

757.    Ribeiro, Luís; Barata, José; Silvério, Nelson (2008): A High Level E-Maintenance Architecture to Support on-site Teams, Enterprise and Work Innovation Studies, 4, IET, pp. 129 – 138.

758.    Rao, B.K.N. (2008). Energy and Environmental Conservation through Proactive Maintenance. Key Note presented and published in the Proceedings of International Conference on Harnessing Technology, published by the Caledonian College of Engineering, Sultanate of Oman.

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762.    Rao, B.K.N. (2009). Advances in Diagnostic and Prognostic Strategies and Technologies for Failure-Free Maintenance of Industrial Assets. Paper presented and published in the Proceedings of COMADEM 2009. Pp. 17- 36.

763.    Radu Pavel, Loran Miller, John Snyder, Nick Frankle, and Gary Key (2010). Machine Tool Health Monitoring Using Prognostic Health Monitoring Software. Proceedings of MFPT 2010, USA.

764.    Ramachandran, K.P., Khalid Fathi and Rao, B.K.N. (2010). Recent Trends in Systems Performance Monitoring and Failure Diagnosis. Paper presented and published in IEEE/IEEM (Industrial Engineering and Engineering Management) 2010 (Mecau) Conference Proceedings. Pp. 2193-2200.

765.    Rao, B.K.N. (2010). Feature Selection, Detection, Extraction and Classification Technology in COMADEM: A Tutorial. Paper presented and published in the Proceedings of COMADEM 2010. Pp. 767-776.

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768.    Rao, B.K.N. (2010). Artificial Intelligence in Designing Modern Decision Support Systems. Paper presented and published in the Proceedings of COMADEM 2010. Pp. 103-110.

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772.    Rao, B.K.N. (2011). Condition Monitoring and Diagnostic Engineering Management (COMADEM) of Modern Tribological Systems: A State-of-the-Art Review. Paper presented and published in the Proceedings of COMADEM 2011.

773.    Raimund Ubar (2011). Self-Diagnosing Digital Systems. Project ETF 7483. Estonian Science Foundation.
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774.    Ravdeep Kour and Ramin Karim (2012). E-Monitoring of operation and maintenance tasks under difficult visual work environment. Proceedings of the 2nd International workshop and Congress on eMaintenance (Eds. U.Kumar, R. Karim and A. Parida), published by Lulea University of Technology, Sweden.

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778.    Rao, B.K.N. (2012). Condition Monitoring and Diagnostic Engineering Management: The Key to Sustained Prosperity. First Dr. V. Bhujanga Rao Endowment Lecture delivered at the GITAM University on 31st January 2012. The full length paper is available on the website of the Condition Monitoring Society of India (http://www.comsoi.org).

779.    Rao, B.K.N. (2013). COMADEM: A Global Proactive Knowledge-based Transdisciplinne for the 21st Century and Beyond. Key Note lecture presented and published in the Proceedings of COMADEM 2013 published by Finnish Maintenance Society, Helsinki, Finland.

780.    Ravdeep Kour, Ramin Karim, Aditya Parida and Uday Kumar (2014). Applications of radio frequency identification (RFID) technology with eMaintenance cloud for railway system, International Journal of Systems Assurance Engineering and Management, Volume 5, No.1, pages 99 – 106.

781.    Rui Zheng; Hongwei Sun; Yingzhi Zhang (2014). Research on prognostics and health management technology of numerical control equipment. Proc. SPIE 9064, Health Monitoring of Structural and Biological Systems 2014, 90642L (9 March 2014); doi: 10.1117/12.2035705

782.    Rao, B.K.N.(2014), No Fault Found (NFF) & Elusive Failure Mode in Modern Complex Systems. Paper presented at the 27th International Congress on COMADEM in Brisbane, Australia in September.

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