Condition-based maintenance for continuously monitored degrading systems with multiple failure modes

References

• Aalen , O. , Borgan , O. and Gjessing , H. 2008 . Survival and Event History Analysis—A Process Point of View , New York , NY : Springer .
   Google Scholar
• Bagdonavicius , V. , Bikelis , A. , Kazakevicius , V. and Nikulin , M. S. 2007 . Analysis of joint multiple failure modes and linear degradation data with renewals . Journal of Statistical Planning and Inference , 137 : 2191 – 2207 .
   Web of Science ®Google Scholar
• Barbera , F. , Schneider , H. and Kelle , H. 1996 . A condition based maintenance model with exponential failures and fixed inspection intervals . The Journal of the Operational Research Society , 47 : 1037 – 1045 .
   Web of Science ®Google Scholar
• Barbera , F. , Schneider , H. and Watson , E. 1999 . A condition based maintenance model for a two-unit series system . European Journal of Operational Research , 116 : 281 – 290 .
   Web of Science ®Google Scholar
• Berenguer , C. , Grall , A. , Dieulle , L. and Roussignol , M. 2003 . Maitenance policy for a continuously monitored deteriorating system . Probability in the Engineering and Information Sciences , 17 : 235 – 250 .
   Web of Science ®Google Scholar
• Byon , E. and Ding , Y. 2010 . Season-dependent condition-based maintenance for a wind turbine using a partially observed Markov decision process . IEEE Transactions on Power Systems , 25 : 1823 – 1834 .
   Web of Science ®Google Scholar
• Castanier , B. , Grall , A. and Berenguer , C. 2005 . A condition-based maintenance policy with non-periodic inspections for a two-unit series systems . Reliability Engineering & System Safety , 87 : 109 – 120 .
   Web of Science ®Google Scholar
• Chen , D. Y. and Trivedi , K. S. 2005 . Optimization for condition-based maintenance with semi-Markov decision process . Reliability Engineering & System Safety , 90 : 25 – 29 .
   Web of Science ®Google Scholar
• Chen , N. , Chen , Y. , Li , Z. and Zhou , S. 2010 . Optimal variability-sensitive condition-based maintenance based on event log data . International Journal of Production Research , 49 : 2083 – 2100 .
   Web of Science ®Google Scholar
• Coats , D. , Cho , K. , Shin , Y. J. , Goodman , N. , Blechertas , V. and Bayoumi , A. M. 2011 . Advanced time-frequency mutual information measures for condition-based maintenance of helicopter drivetrains . IEEE Transactions on Instrumentation and Measurement , 60 : 2984 – 2994 .
   Web of Science ®Google Scholar
• Couallier , V. 2008 . “ A competing risks model for degradation and traumatic failure times ” . In Statistical Models and Methods for Biomedical and Technical Systems , Edited by: Vonta , F. , Nikulin , M. , Limnios , N. and Huber , C. 83 – 93 . Boston , MA : Birkhäuser .
   Google Scholar
• Crowder , M. J. 2001 . Classical Competing Risks , New York , NY : Chapman & Hall/CRC .
   Google Scholar
• Daniels , H. 1996 . Approximating the first crossing-time density for a curved boundary . Bernoulli , 2 : 133 – 143 .
   Google Scholar
• Dieulle , L. , Berenguer , C. , Grall , A. and Roussignol , M. 2003 . Sequential condition-based maintenance scheduling for a deteriorating system . European Journal of Operational Research , 150 : 451 – 461 .
   Web of Science ®Google Scholar
• Elwany , A. and Gebraeel , N. 2009 . Real-time estimation of mean remaining life using sensor-based degradation models . ASME Transactions on Manufacturing Science and Engineering , 131 : 051005-1 – 051005-9 .
   Web of Science ®Google Scholar
• Gebraeel , N. , Lawley , M. , Li , R. and Ryan , J. K. 2005 . Residual-life distributions from component degradation signals: a Bayesian approach . IIE Transactions , 37 : 543 – 557 .
   Web of Science ®Google Scholar
• Gharaibeh , K. M. , Gard , K. G. and Steer , M. B. 2004 . Accurate estimation of digital communication system metrics—SNR, EVM and ρ in a nonlinear amplifier environment . Proceedings of the ARFTG Microwave Measurements Conference , : 41 – 44 .
   Google Scholar
• Ghasemi , A. , Yacout , S. and Ouali , M. S. 2007 . Optimal condition based maintenance with imperfect information and the proportional hazards model . International Journal of Production Research , 45 : 989 – 1012 .
   Web of Science ®Google Scholar
• Grall , A. , Berenguer , C. and Dieulle , L. 2002 . A condition-based maintenance policy for stochastically deteriorating systems . Reliability Engineering & System Safety , 76 : 167 – 180 .
   Web of Science ®Google Scholar
• Grandell , J. 1976 . Double Stochastic Poisson Processes , New York , NY : Springer .
   Google Scholar
• Haghighi , F. and Nikulin , M. 2010 . On the linear degradation model with multiple failure modes . Journal of Applied Statistics , 37 : 1499 – 1507 .
   Web of Science ®Google Scholar
• Hu , Y. Z. 2000 . Multi-dimensional geometric Brownian motions, Onsager–Machlup functions, and applications to mathematical finance . ACTA Mathematica Scientia , 20B : 341 – 358 .
   Google Scholar
• International Atomic Energy Agency . 2007 . “ IAEA-TECDOC-1551: Implementation strategies and tools for condition based maintenance at nuclear power plants ” . Available at http://www-pub.iaea.org/MTCD/publications/PDF/te_1551_web.pdf, accessed May 2011
   Google Scholar
• Jardine , A. , Lin , D. and Banjevic , D. 2006 . A review on machinery diagnostics and prognostics implementing condition-based maintenance . Mechanical Systems and Signal Processing , 20 : 1483 – 1510 .
   Web of Science ®Google Scholar
• Karatzas , I. and Shreve , S. 1991 . Brownian Motion and Stochastic Calculus , New York , NY : Springer .
   Google Scholar
• Lehmann , A. 2006 . “ Degradation-threshold-shock models ” . In Probability, Statistics and Modelling in Public Health , Edited by: Nikulin , M. , Commenges , D. and Huber , C. 286 – 298 . New York , NY : Springer .
   Google Scholar
• Lehmann , A. 2009 . Joint modeling of degradation and failure time data . Journal of Statistical Planning and Inference , 139 : 1693 – 1706 .
   Web of Science ®Google Scholar
• Liao , H. T. , Elsayed , E. A. and Chan , L. Y. 2006 . Maintenance of continuously monitored degrading systems . European Journal of Operational Research , 175 : 821 – 835 .
   Web of Science ®Google Scholar
• Lindqvist , B. H. and Skogsrud , G. 2009 . Modeling of dependent competing risks by first passage times of Wiener processes . IIE Transactions , 41 : 72 – 80 .
   Web of Science ®Google Scholar
• Lu , S. , Tu , Y. C. and Lu , H. T. 2007 . Predictive condition-based maintenance for continuously deteriorating systems . Quality and Reliability Engineering International , 23 : 71 – 81 .
   Web of Science ®Google Scholar
• Marseguerra , M. , Zio , E. and Podofillini , L. 2002 . Condition-based maintenance optimization by means of genetic algorithms and Monte Carlo simulation . Reliability Engineering & System Safety , 77 : 151 – 166 .
   Web of Science ®Google Scholar
• Neves , M. L. , Santiago , L. P. and Maia , C. A. 2011 . A condition-based maintenance policy and input parameters estimation for deteriorating systems under periodic inspection . Computers & Industrial Engineering , 61 : 503 – 511 .
   Web of Science ®Google Scholar
• Paris , P. C. , Gomez , M. P. and Anderson , W. E. 1961 . A rational analytic theory of fatigue . Trends in Engineering , 13 : 9 – 14 .
   Google Scholar
• Peng , H. , Feng , Q. and Coit , D. 2009 . Simultaneous quality and reliability optimization for microengines subject to degradation . IEEE Transactions on Reliability , 58 : 98 – 105 .
   Web of Science ®Google Scholar
• Peng , H. , Feng , Q. and Coit , D. 2011 . Reliability and maintenance modeling for systems subject to multiple dependent competing failure processes . IIE Transaction , 43 : 12 – 22 .
   Web of Science ®Google Scholar
• Peng , Y. , Dong , M. and Zuo , M. J. 2010 . Current status of machine prognostics in condition-based maintenance: a review . International Journal of Advanced Manufacturing Technology , 50 : 297 – 313 .
   Web of Science ®Google Scholar
• Ross , S. 1996 . “ second edition ” . In Stochastic Processes , New York , NY : John Wiley & Sons .
   Google Scholar
• Singpurwalla , N. D. 1995 . Survival in dynamic environments . Statistical Science , 10 : 86 – 103 .
   Web of Science ®Google Scholar
• Tian , Z. G. , Jin , T. D. , Wu , B. R. and Ding , F. F. 2011 . Condition based maintenance optimization for wind power generation systems under continuous monitoring . Renewable Energy , 36 : 1502 – 1509 .
   Web of Science ®Google Scholar
• Tian , Z. G. and Liao , H. T. 2011 . Condition based maintenance optimization for multi-component systems using proportional hazards model . Reliability Engineering & System Safety , 96 : 581 – 589 .
   Web of Science ®Google Scholar
• Wang , W. 2000 . A model to determine the optimal critical level and the monitoring intervals in condition-based maintenance . International Journal of Production Research , 38 : 1425 – 1436 .
   Web of Science ®Google Scholar
• Yashin , A. 1985 . “ Dynamics in survival analysis: conditional Gaussian property versus Cameron–Martin formula ” . In Statistics and Control of Stochastic Processes , Edited by: Krylov , N. , Liptser , R. and Novikov , A. 466 – 475 . Springer .
   Google Scholar