Rotating machinery prognostics: State of the art, challenges and opportunities
Tóm tắt
Từ khóa
Tài liệu tham khảo
Ferret, The basics o predictive/preventive maintenance, http://www.ferret.com.au/articles/ad/0c0259ad.asp, accessed March 1, 2006.
Westwick-Farrow, Predictive/preventive maintenance, http://www.inmotiononline.com.au/inmotion/latest_news/article.asp?id=7611, accessed March 2, 2006.
Bazovsky, 1961
Jardine, 1973
A. Kelly, Maintenance and its management, Proceedings of the Communication Conference, Surrey, England, 1989.
Bloch, 1997
Pusey, 1999, An assessment of turbomachinery condition monitoring and failure prognosis technology, The Shock and Vibration Digest, 31, 365, 10.1177/058310249903100502
Jardine, 2006, A review on machinery diagnostics and prognostics implementing condition-based maintenance, Mechanical Systems and Signal Processing, 20, 1483, 10.1016/j.ymssp.2005.09.012
Vachtsevanos, 2006
L. Ma, Condition monitoring in engineering asset management, Proceedings of Asia-Pacific Vibration Conference, Sapporo, Hokkaido, Japan, 2007.
Lawless, 2002
Kapur, 1977
Elsayed, 1996
Keller, 1982, Reliability analysis of CNC machine tools, Reliability Engineering, 3, 449, 10.1016/0143-8174(82)90036-1
Crowder, 1994
A. Schömig, O. Rose, On the suitability of the Weibull distribution for the approximation of machine failures, Proceedings of the Industrial Engineering Research Conference, Portland, OR, 2003.
P.G. Groer, Analysis of time-to-failure with a Weibull model, Proceedings of the Maintenance and Reliability Conference, Knoxville, TN, USA, 2000, pp. 59.01–59.04.
M.J. Roemer, G.J. Kacprzynski, E.O. Nwadiogbu, G. Bloor, Development of diagnostic and prognostic technologies for aerospace health management applications, Proceedings of the IEEE Aerospace Conference, Big Sky, Montana, USA, 2001, pp. 3139–3147.
Li, 1999, Adaptive prognostics for rolling element bearing condition, Mechanical Systems and Signal Processing, 13, 103, 10.1006/mssp.1998.0183
Li, 2000, Stochastic prognostics for rolling element bearings, Mechanical Systems and Signal Processing, 14, 747, 10.1006/mssp.2000.1301
C.J. Li, S. Choi, Spur gear root fatigue crack prognosis via crack diagnosis and fracture mechanics, Proceedings of Proceedings of the 56th Meeting of the Society of Mechanical Failures Prevention Technology, Virginia Beach, VA, 2002, pp. 311–320.
Li, 2005, Gear fatigue crack prognosis using embedded model, gear dynamic model and fracture mechanics, Mechanical Systems and Signal Processing, 19, 836, 10.1016/j.ymssp.2004.06.007
C.H. Oppenheimer, K.A. Loparo, Physically based diagnosis and prognosis of cracked rotor shafts, Proceedings of SPIE Component and Systems Diagnostics, Prognostics, and Health Management II, Bellingham, 2002, pp. 122–132.
Orsagh, 2003, Prognostics/diagnostics for gas turbine engine bearings, Proceedings of the IEEE Aerospace Conference, 7, 3095
R. Orsagh, M. Roemer, J. Sheldon, A comprehensive prognostics approach for predicting gas turbine engine bearing life, Proceedings of the 10th National Turbine Engine High Cycle Fatigue Conference, New Orleans, LO, 2004, pp.
Kacprzynski, 2004, Predicting remaining life by fusing the physics of failure modeling with diagnostics, JOM Journal of the Minerals, Metals and Materials Society, 56, 29, 10.1007/s11837-004-0029-2
S. Marble, B. P. Morton, Predicting the remaining life of propulsion system bearings, Proceedings of the IEEE Aerospace Conference, 2006, pp. 1–8.
Qiu, 2002, Damage mechanics approach for bearing lifetime prognostics, Mechanical Systems and Signal Processing, 16, 817, 10.1006/mssp.2002.1483
W. Batko, Prediction method in technical diagnostics, Doctoral Thesis, Cracov Mining Academy, 1984.
K. Kazmierczak, Application of autoregressive prognostic techniques in diagnostics, Proceedings of the Vehicle Diagnostics Conference, Tuczno, Poland, 1983.
Cempel, 1987, Simple condition forecasting techniques in vibroacoustical diagnostics, Mechanical Systems and Signal Processing, 1, 75, 10.1016/0888-3270(87)90084-7
J. Lee, A systematic approach for developing and deploying advanced prognostics technologies and tools: methodology and applications, Proceedings of the Second World Congress on Engineering Asset Management, Harrogate, UK, 2007, pp. 1195–1206.
Tse, 1999, Prediction of machine deterioration using vibration based fault trends and recurrent neural networks, Transactions of the ASME: Journal of Vibration and Acoustics, 121, 355, 10.1115/1.2893988
Joshi, 2006, Beyond the Cox model: artificial neural networks for survival analysis part II, Proceedings of the Eighteenth International Conference on Systems Engineering
Bostwichk, 2001, Prediction of individual patient outcome in cancer, Cancer Supplement, 91, 1643, 10.1002/1097-0142(20010415)91:8+<1643::AID-CNCR1177>3.0.CO;2-I
R. Setiono, W.K. Leow, and J.Y.L. Thong, Opening the neural network black box: An algorithm for extracting rules from function approximating artificial neural networks, Proceedings of International Conference on Information Systems, Brisbane, Australia, 2000, pp. 176–186.
Tickle, 1998, The truth will come to light: directions and challenges in extracting the knowledge embedded within trained artificial neural networks, IEE Transactions on Neural Networks, 9, 1057, 10.1109/72.728352
Yam, 2001, Intelligent predictive decision support system for CBM, The International Journal of Advanced Manufacturing Technology, 17, 383, 10.1007/s001700170173
Wang, 2001, Fault prognostics using dynamic wavelet neural networks, Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 15, 349, 10.1017/S0890060401154089
Wang, 2004, Prognosis of machine health condition using neuro-fuzzy systems, Mechanical Systems and Signal Processing, 18, 813, 10.1016/S0888-3270(03)00079-7
Wang, 2007, An adaptive predictor for dynamic system forecasting, Mechanical Systems and Signal Processing, 21, 809, 10.1016/j.ymssp.2005.12.008
Y. Shao, K. Nezu, Prognosis of remaining bearing life using neural networks, Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 2000, pp. 217–230.
Gebraeel, 2004, Residual life predictions from vibration-based degradation signals: a neural network approach, IEEE Transactions on Industrial Electronics, 51, 694, 10.1109/TIE.2004.824875
Huang, 2007, Residual life predictions for ball bearings based on self-organizing map and back propagation neural network methods, Mechanical Systems and Signal Processing, 21, 193, 10.1016/j.ymssp.2005.11.008
M. Orchard, B. Wu, and G. Vachtsevanos, A particle filter framework for failure prognosis, Proceedings of Proceedings of the World Tribology Congress, Washington, DC, 2005.
E. Jantunen, Prognosis of rolling bearing failure based on regression analysis and fuzzy logic, Proceedings of the VETOMAC-3 and ACSIM-2004, New Delhi, India, 2004, pp. 836–846.
S. Zhang, L. Ma, Y. Sun, J. Mathew, Asset health reliability estimation based on condition data, Proceedings of the 2nd WCEAM and the 4th ICCM, Harrogate, UK, 2007, pp. 2195–2204.
X. Zhang, R. Xu, C. Kwan, S. Y. Liang, Q. Xie, L. Haynes, An integrated approach to bearing fault diagnostics and prognostics, Proceedings of American Control Conference, Portland, OR, USA, 2005, pp. 2750–2755.
Dong, 2007, A segmental hidden semi-Markov model (HSMM)-based diagnostics and prognostics framework and methodology, Mechanical Systems and Signal Processing, 21, 2248, 10.1016/j.ymssp.2006.10.001
C.J. Li, H. Shin, Tracking bearing spall severity through inverse modeling, Proceedings of the ASME International Mechanical Engineering Congress, Anaheim, CA, USA, 2004, pp. 1–6.
Goode, 2000, Plant machinery working life prediction method utilizing reliability and condition-monitoring data, Proceedings of Institution of Mechanical Engineers, 214, 109, 10.1243/0954408001530146
Jardine, 1987, Application of the Weibull proportional hazards model to aircraft and marine engine failure data, Quality and Reliability Engineering International, 3, 77, 10.1002/qre.4680030204
Jardine, 1989, Proportional hazards analysis of diesel engine failure data, Quality and Reliability Engineering International, 5, 207, 10.1002/qre.4680050305
N. Montgomery, T. Lindquist, M.-A. Garnero, R. Chevalier, A.K.S. Jardine, Reliability functions and optimal decisions using condition data for EDF primary pumps, Proceedings of the International Conference on Probabilistic Methods Applied to Power Systems, Stockholm, Sweden, 2006.
P.O. Sundin, N. Montgomery, A.K.S. Jardine, Pulp mill on-site implementation of CBM decision support software, Proceedings of International Conference of Maintenance Societies, Melbourne, Australia, 2007.
Bendell, 1985, Proportional hazards modelling in reliability assessment, Reliability Engineering, 11, 175, 10.1016/0143-8174(85)90070-8
Bendell, 1991, Applying proportional hazards modelling in reliability, Reliability Engineering and System Safety, 34, 35, 10.1016/0951-8320(91)90098-R
Ascher, 1984
Dhananjay, 1994, Proportional hazards model: a review, Reliability Engineering and System Safety, 44, 177, 10.1016/0951-8320(94)90010-8
Banjevic, 2006, Calculation of reliability function and remaining useful life for a Markov failure time process, IMA Journal of Management Mathematics, 17, 115, 10.1093/imaman/dpi029
Jardine, 1997, Optimal replacement policy and the structure of software for condition-based maintenance, Journal of Quality in Maintenance Engineering, 3, 109, 10.1108/13552519710167728
Sun, 2006, Mechanical systems hazard estimation using condition monitoring, Mechanical Systems and Signal Processing, 20, 1189, 10.1016/j.ymssp.2004.10.009
Wang, 2002, A model to predict the residual life of rolling element bearings given monitored condition information to date, IMA Journal of Management Mathematics, 13, 3, 10.1093/imaman/13.1.3
Wang, 2005, A model to predict the residual life of aircraft engines based upon oil analysis data, Naval Research Logistics, 52, 276, 10.1002/nav.20072
Wang, 2000, Towards a general condition based maintenance model for a stochastic dynamic system, Journal of Operational Research Society, 51, 145, 10.1057/palgrave.jors.2600863
Cempel, 2000, Symptom reliability and hazard for systems condition monitoring, Mechanical Systems and Signal Processing, 14, 495, 10.1006/mssp.1999.1246
A. Heng, A. Tan, J. Mathew, B.-S. Yang, Machine prognosis with full utilization of truncated lifetime data, Proceedings of the Second World Congress on Engineering Asset Management, Harrogate, UK, 2007, pp. 775–784.
Wen, 2004, Prediction method of machinery condition based on recurrent neural networks models, Journal of Applied Sciences, 4, 675, 10.3923/jas.2004.675.679
Tallian, 1999, Data fitted bearing life prediction model for variable operating conditions, Tribology Transactions, 42, 241, 10.1080/10402009908982214
D.C. Swanson, A general prognostic tracking algorithm for predictive maintenance, Proceedings of the IEEE Aerospace Conference, 2001.
Zhang, 2007, Short-term fault prediction of mechanical rotating parts on the basis of fuzzy-grey optimising method, Mechanical Systems and Signal Processing, 21, 856, 10.1016/j.ymssp.2005.09.013
K. Goebel, P. Bonanni, N. Eklund, Towards an integrated reasoner for bearings prognostics, Proceedings of the IEEE Aerospace Conference, Niskayuna, NY, USA, 2005, pp. 3864–3657.
Y.-L. Dong, G. Yu-Jiong, K. Yang, Research on the condition based maintenance decision of equipment in power plant, Proceedings of the Machine Learning and Cybernetics Conference, 2004.
L. Hitchcock, ISO standards for condition monitoring, Proceedings of the Inaugural World Congress on Engineering Asset Management, Gold Coast, Australia, 2006.
Castanier, 2003, A sequential condition-based repair/replacement policy with non-periodic inspections for a system subject to continuous wear, Applied Stochastic Models in Business and Industry, 19, 327, 10.1002/asmb.493
Dieulle, 2003, Sequential condition-based maintenance scheduling for a deteriorating system, European Journal of Operational Research, 150, 451, 10.1016/S0377-2217(02)00593-3
Grall, 2002, A condition-based maintenance policy for stochastically deteriorating systems, Reliability Engineering and System Safety, 76, 167, 10.1016/S0951-8320(01)00148-X
Knezevic, 1987, Condition parameter based approach to calculation of reliability characteristics, Reliability Engineering, 19, 29, 10.1016/0143-8174(87)90018-7
Lu, 1997, Statistical inference of a time-to-failure distribution derived from linear degradation data, Technometrics, 39, 391, 10.2307/1271503
Saranga, 2000, Reliability analysis using multiple relevant condition parameters, Journal of Quality in Maintenance Engineering, 6, 165, 10.1108/13552510010341180
Lu, 2000, Multivariate performance reliability prediction in real-time, Reliability Engineering & System Safety, 72, 39, 10.1016/S0951-8320(00)00102-2
Yan, 2004, A prognostic algorithm for machine performance assessment and its application, Production Planning & Control, 15, 796, 10.1080/09537280412331309208
Monga, 2001, Optimal design of series-parallel systems considering maintenance and salvage value, Computer & Industrial Engineering, 40, 323, 10.1016/S0360-8352(01)00032-8
Monga, 2002, Reliability based design considering preventive maintenance and minimal repair, International Journal for Quality, Reliability and Safety Engineering, 4, 55, 10.1142/S0218539397000059
Pham, 1996, Reliability analysis of k-out-of-N systems with partially repairable multi-state components, Microelectronics R, 36, 1407, 10.1016/0026-2714(96)00005-4
Pham, 1997, Availability and mean life time prediction of multistage degraded system with partial repairs, Reliability Engineering & System Safety, 56, 169, 10.1016/S0951-8320(96)00140-8
Bloch-Mercier, 2001, Optimal restarting distribution after repair for a Markov deteriorating system, Reliability Engineering & System Safety, 74, 181, 10.1016/S0951-8320(01)00076-X
Wang, 2003, Determining the optimal production maintenance policy with inspection errors: using a Markov chain, Computer & Operational Research Society, 30, 1, 10.1016/S0305-0548(01)00073-9
Becker, 2000, A semi-Markovian model allowing for inhomoginities with respect to process time, Reliability Engineering & System Safety, 70, 41, 10.1016/S0951-8320(00)00044-2
Papazoglou, 2000, Semi-Markovian reliability model for systems with testable components and general test/outage times, Reliability Engineering & System Safety, 68, 121, 10.1016/S0951-8320(00)00003-X
Gue, 1992, Statistical analysis of an age model for imperfectly repaired systems, Quality and Reliability Engineering International, 8, 133, 10.1002/qre.4680080209
Roberts, 1993, Failure predictions in repairable multi-component systems, International Journal of Production Economics, 29, 103, 10.1016/0925-5273(93)90027-I
Guida, 1995, Reliability analysis of accelerated life-test data from a repairable system, IEEE Transactions on Reliability, 44, 337, 10.1109/24.387392
Coetzee, 1997, The role of NHPP models in the practical analysis of maintenance failure data, Reliability Engineering & System Safety, 56, 161, 10.1016/S0951-8320(97)00010-0
Weckman, 2001, Modelling the reliability of repairable systems in the aviation industry, Computer & Industrial Engineering, 40, 51, 10.1016/S0360-8352(00)00063-2
Pulcini, 2001, Modelling the failure data of repairable equipment with bathtub type failure intensity, Reliability Engineering & System Safety, 71, 209, 10.1016/S0951-8320(00)00101-0
Sun, 2005, Determination of preventive maintenance lead time using hybrid analysis, International Journal of Plant Engineering and Management, 10, 13
Sun, 2007, Prediction of system reliability for single component repair, Journal of Quality in Maintenance Engineering, 13, 111, 10.1108/13552510710753023
Wang, 2002, A survey of maintenance policies of deteriorating systems, European Journal of Operational Research, 139, 469, 10.1016/S0377-2217(01)00197-7
Zhan, 2003, Adaptive model for vibration monitoring of rotating machinery subject to random deterioration, Journal of Quality in Maintenance Engineering, 9, 351, 10.1108/13552510310503222
J. Qiu, C. Zhang, B.B. Seth, S.Y. Liang, Failure lifetime prognostic of bearing based on vibration response and damage mechanics, Proceedings of the Japan–USA Flexible Automation Conference, July 23–26, 2000.
Stack, 2003, Effects of machine speed on the development and detection of rolling element bearing faults, IEEE Power Electronics Letters, 1, 19, 10.1109/LPEL.2003.814607
McFadden, 1986, Detecting fatigue cracks in gears by amplitude and phase demodulation of the meshing vibration, Transactions of the ASME Journal of Vibration, Acousitcs, Stress and Reliability in Design, 108, 165, 10.1115/1.3269317
Parker, 2000, Fault diagnostics using statistical change detection in the bispectral domain, Mechanical Systems and Signal Processing, 14, 561, 10.1006/mssp.2000.1299
Stander, 2002, Using vibration monitoring for local fault detection on gears operating under fluctuating load conditions, Mechanical Systems and Signal Processing, 16, 1005, 10.1006/mssp.2002.1479
McLinn, 1999, New analysis methods of multilevel accelerated life tests, Proceedings of the Annual Reliability and Maintainability Symposium, 38
Johannessona, 2005, Fatigue life prediction based on variable amplitude tests—methodology, International Journal of Fatigue, 27, 954, 10.1016/j.ijfatigue.2004.11.009
Meeker, 1998, Accelerated degradation tests: modeling and analysis, Technometrics, 40, 89, 10.2307/1270643
D. Decoste, Learning envelopes for fault detection and state summarization, Proceedings of the IEEE Aerospace Conference, Big Sky, MT, USA, 2000, pp. 337–344.
Greig, 1991, Second moment reliability analysis of redundant systems with dependent failures, Reliability Engineering and System Safety, 41, 57, 10.1016/0951-8320(93)90018-T
Hoyland, 1994
Long, 2000, Quantification of sequential failure logic for fault tree analysis, Reliability Engineering & System Safety, 67, 269, 10.1016/S0951-8320(99)00075-7
Sun, 2006, An analytical model for interactive failures, Reliability Engineering & System Safety, 91, 495, 10.1016/j.ress.2005.03.014
E. Jantunen, Intelligent monitoring and prognosis of degradation of rotating machinery, Proceedings of the Intelligent Maintenance Systems IMS’2004, Advances in Maintenance and Modelling, Simulation and Intelligent Monitoring of Degradation, Arles, 2004.
Muller, 2008, Formalisation of a new prognosis model for supporting proactive maintenance implementation on industrial system, Reliability Engineering and System Safety, 93, 234, 10.1016/j.ress.2006.12.004
Virkler, 1979, The statistical nature of fatigue crack propagation, ASME Journal of Engineering Materials and Technology, 101, 148, 10.1115/1.3443666