Remaining useful life, technical health, and life extension
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[1] Viliam Makis,et al. Optimal component replacement decisions using vibration monitoring and the proportional-hazards model , 2002, J. Oper. Res. Soc..
[2] M Rausand,et al. Life extension of machinery in the oil and gas industry , 2009 .
[3] Ian Howard,et al. THE DYNAMIC MODELLING OF A SPUR GEAR IN MESH INCLUDING FRICTION AND A CRACK , 2001 .
[4] Roger M. Cooke,et al. Expert judgment in maintenance optimization , 1992 .
[5] Stan Kaplan,et al. ‘Expert information’ versus ‘expert opinions’. Another approach to the problem of eliciting/ combining/using expert knowledge in PRA , 1992 .
[6] Charles R Farrar,et al. Damage prognosis: the future of structural health monitoring , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[7] R. Cooke. Experts in Uncertainty: Opinion and Subjective Probability in Science , 1991 .
[8] M. Crowder,et al. Covariates and Random Effects in a Gamma Process Model with Application to Degradation and Failure , 2004, Lifetime data analysis.
[9] Wei Lin,et al. Fault detection and diagnosis of rotating machinery , 2000, IEEE Trans. Ind. Electron..
[10] P. Baruah,et al. HMMs for diagnostics and prognostics in machining processes , 2005 .
[11] M. Pecht,et al. Material failure mechanisms and damage models , 1991 .
[12] Maarten-Jan Kallen,et al. Optimal periodic inspection of a deterioration process with sequential condition states , 2006 .
[13] M. Abdel-Hameed. A Gamma Wear Process , 1975, IEEE Transactions on Reliability.
[14] Terje Aven,et al. Perspectives on risk in a decision-making context – Review and discussion , 2009 .
[15] C. T. Barker,et al. Optimal non-periodic inspection for a multivariate degradation model , 2009, Reliab. Eng. Syst. Saf..
[16] J. Charles Kerkering,et al. Eliciting and Analyzing Expert Judgment, A Practical Guide , 2002, Technometrics.
[17] Walter Bartelmus. Diagnostic information on gearbox condition for mechatronic systems , 2003 .
[18] J. M. Chandra Kishen,et al. Probabilistic assessment of fatigue crack growth in concrete , 2008 .
[19] G.W.E. Nieuwhof. The concept of failure in reliability engineering , 1984 .
[20] D.,et al. Regression Models and Life-Tables , 2022 .
[21] Kenneth A. Loparo,et al. Physically based diagnosis and prognosis of cracked rotor shafts , 2002, SPIE Defense + Commercial Sensing.
[22] Jan M. van Noortwijk,et al. A survey of the application of gamma processes in maintenance , 2009, Reliab. Eng. Syst. Saf..
[23] Martin Newby. Perspective on Weibull proportional-hazards models , 1994 .
[24] J. R. Walker. A probabilistic approach to leak-before-break in CANDU pressure tubes , 1990 .
[25] M. Yor,et al. Continuous martingales and Brownian motion , 1990 .
[26] D. Kumar,et al. Proportional hazards modeling of time-dependent covariates using linear regression: a case study [mine power cable reliability] , 1996, IEEE Trans. Reliab..
[27] Viliam Makis,et al. Filters and parameter estimation for a partially observable system subject to random failure with continuous-range observations , 2004, Advances in Applied Probability.
[28] Maxence Bigerelle,et al. Bootstrap analysis of FCGR, application to the Paris relationship and to lifetime prediction , 1999 .
[29] Daming Lin,et al. A review on machinery diagnostics and prognostics implementing condition-based maintenance , 2006 .
[30] Jane M. Booker,et al. Eliciting and analyzing expert judgement - a practical guide , 2001, ASA-SIAM series on statistics and applied probability.
[31] Martin Newby,et al. A bivariate process model for maintenance and inspection planning , 2006 .
[32] Antoine Grall,et al. A condition-based maintenance policy for stochastically deteriorating systems , 2002, Reliab. Eng. Syst. Saf..
[33] Antoine Grall,et al. Sequential condition-based maintenance scheduling for a deteriorating system , 2003, Eur. J. Oper. Res..
[34] F. Kozin,et al. Probabilistic models of fatigue crack growth: Results and speculations , 1989 .
[35] M. D. Pandey,et al. The influence of temporal uncertainty of deterioration on life-cycle management of structures , 2009 .
[36] Heinz P. Bloch,et al. An introduction to machinery reliability assessment , 1990 .
[37] Antoine Grall,et al. Asymptotic failure rate of a continuously monitored system , 2006, Reliab. Eng. Syst. Saf..
[38] Nozer D. Singpurwalla,et al. Survival in Dynamic Environments , 1995 .
[39] K. Doksum,et al. Models for variable-stress accelerated life testing experiments based on Wiener processes and the inverse Gaussian distribution , 1992 .
[40] Rune Reinertsen,et al. Residual life of technical systems ; diagnosis, prediction and life extension , 1996 .
[41] Steven Y. Liang,et al. STOCHASTIC PROGNOSTICS FOR ROLLING ELEMENT BEARINGS , 2000 .
[42] G A Whitmore,et al. Modelling Accelerated Degradation Data Using Wiener Diffusion With A Time Scale Transformation , 1997, Lifetime data analysis.
[43] Paul M. Frank,et al. Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy: A survey and some new results , 1990, Autom..
[44] Wenbin Wang,et al. A model to predict the residual life of rolling element bearings given monitored condition information to date , 2002 .
[45] Jean-Claude Bocquet,et al. Anticipating aging failure using feedback data and expert judgment , 2007, Reliab. Eng. Syst. Saf..