Failure Prediction Methodology for Improved Proactive Maintenance using Bayesian Approach ★ ★The authors gratefully acknowledge STMicroelectronics for their support and provision of data for TT case study. The authors also acknowledge European project INTEGRATE and region RhoneAlpes for ongoing Research.
Tài liệu tham khảo
das Chagas Moura, 2011, Failure and reliability prediction by support vector machines regression of time series data, Reliability Engineering & System Safety, 96, 1527, 10.1016/j.ress.2011.06.006
Haddad, 2012, An options approach for decision support of systems with prognostic capabilities. Reliability, IEEE Transactions on, 61, 872
Kobbacy, 2011, Bayesian networks in manufacturing, Journal of Manufacturing Technology Management, 22, 734, 10.1108/17410381111149611
Lam, 1994, Learning bayesian belief networks: An approach based on the mdl principle, Computational intelligence, 10, 269, 10.1111/j.1467-8640.1994.tb00166.x
Li, 2007, Failure event prediction using the cox proportional hazard model driven by frequent failure signatures, IIE transactions, 39, 303, 10.1080/07408170600847168
Lu, 2007, Predictive condition-based maintenance for continuously deteriorating systems, Quality and Reliability Engineering International, 23, 71, 10.1002/qre.823
Salfner, F. (2005). Predicting failures with hidden markov models. In Proceedings of 5th European Dependable Computing Conference (EDCC-5), 41–46.
Vrignat, P., Avila, M., Duculty, F., and Kratz, F. (2015). Failure event prediction using hidden markov model approaches.