TY - JOUR
T1 - A parameter estimation method for a condition-monitored device under multi-state deterioration
AU - Moghaddass, Ramin
AU - Zuo, Ming J.
N1 - Funding Information:
This research is financially supported by Natural Sciences and Engineering Research Council of Canada (NSERC) . Comments from reviewers and the editor are very much appreciated.
PY - 2012/10
Y1 - 2012/10
N2 - The overall performance of a mechanical device under random shocks, fatigue, and gradual degradation may continuously deteriorate over time, leading to multi-state health conditions. This deterioration can be represented by a continuous-time degradation process - with multiple discrete states - that reflects the relative degree of deterioration. This paper focuses on a condition-monitored device with multi-state deterioration, where its degradation state is not directly observable and only incomplete information is available through condition monitoring. After modeling this multi-state device, an unsupervised parameter estimation method is developed, which employs historical condition monitoring information to estimate the unknown characteristic parameters of the degradation process and the observation process. The results are evaluated through numerical experiments.
AB - The overall performance of a mechanical device under random shocks, fatigue, and gradual degradation may continuously deteriorate over time, leading to multi-state health conditions. This deterioration can be represented by a continuous-time degradation process - with multiple discrete states - that reflects the relative degree of deterioration. This paper focuses on a condition-monitored device with multi-state deterioration, where its degradation state is not directly observable and only incomplete information is available through condition monitoring. After modeling this multi-state device, an unsupervised parameter estimation method is developed, which employs historical condition monitoring information to estimate the unknown characteristic parameters of the degradation process and the observation process. The results are evaluated through numerical experiments.
KW - Condition monitoring
KW - Continuous-time degradation process
KW - Multi-state deterioration
KW - Unsupervised parameter estimation
UR - http://www.scopus.com/inward/record.url?scp=84863459246&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84863459246&partnerID=8YFLogxK
U2 - 10.1016/j.ress.2012.05.004
DO - 10.1016/j.ress.2012.05.004
M3 - Article
AN - SCOPUS:84863459246
VL - 106
SP - 94
EP - 103
JO - Reliability Engineering and System Safety
JF - Reliability Engineering and System Safety
SN - 0951-8320
ER -