Asset life prediction using multiple degradation indicators and lifetime data: A Gamma-based state space model approach

Proceedings of 2009 8th International Conference on Reliability, Maintainability and Safety, ICRMS 2009

Volumn , Issue , 2009, Pages 445-449

  Zhou, Yifan ^a   Ma, Lin ^a   Mathew, J ^a   Kim, H ^a   Wolff, Rodney ^a  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

Expectation maximization algorithm; Gamma process; Proportional hazard model; State space model

Indexed keywords

ASSET LIVES; COMMONLY USED; ENGINEERING ASSETS; EXPECTATION-MAXIMIZATION ALGORITHMS; FAILURE DATA; FAILURE THRESHOLDS; GAMMA PROCESS; LIFETIME DATA; MODEL INFERENCE; MONTE CARLO; PROPORTIONAL HAZARD MODELS; STATE SPACE MODEL;

ALGORITHMS; DEGRADATION; INFERENCE ENGINES; MAINTAINABILITY; MAXIMUM PRINCIPLE; OPTIMIZATION; PARAMETER ESTIMATION; SAFETY ENGINEERING; STATE SPACE METHODS;

MATHEMATICAL MODELS;

EID: 77955946699     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICRMS.2009.5270153     Document Type: Conference Paper

References (9)

1. H. Liao, W. Zhao, and H. Guo, "Predicting remaining useful life of an individual unit using proportional hazards model and logistic regression model," in Reliability and Maintainability Symposium, 2006. RAMS '06. Annual, 2006, pp.127-132.
2. D. Kumar and U. Westberg, "Proportional hazards modeling of timedependent covariates using linear regression: a case study [mine power cable reliability]," Reliability, IEEE Transactions on, 1996, Vol.45, pp.386-392.
3. D. Banjevic and A.K.S. Jardine, "Calculation of reliability function and remaining useful life for a Markov failure time process," IMA J Management Math, 2006, Vol.17, pp.115-130.
4. W. Wang, "A model to predict the residual life of rolling element bearings given monitored condition information to date," IMA Journal of Management Mathematics, 2002, Vol.13, pp.3.
5. V. Makis and X. Jiang, "Optimal replacement under partial observations," Mathematics of Operations Research, 2003, Vol.28, pp.382.
6. G.A. Whitmore, M.J. Crowder, and J.F. Lawless, "Failure inference from a marker process based on a bivariate wiener model," Lifetime Data Analysis, 1998, Vol.4, pp.229-251.
7. J.M. Noortwijk, "A survey of the application of gamma processes in maintenance," Reliability Engineering & System Safety, In Press, Corrected Proof.
8. J.G. Simon, D. Arnaud, and W. Mike, "Monte Carlo smoothing for nonlinear time series," Journal of the American Statistical Association, 2004, Vol.99, pp.156.
9. M.S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, "A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking," Signal Processing, IEEE Transactions on, 2002, Vol.50, pp.174-188.