A novel method using adaptive hidden semi-Markov model for multi-sensor monitoring equipment health prognosis

Health prognosis for equipment is considered as a key process of the condition-based maintenance strategy. This paper presents an integrated framework for multi-sensor equipment diagnosis and prognosis based on adaptive hidden semi-Markov model (AHSMM). Unlike hidden semi-Markov model (HSMM), the ba...

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Veröffentlicht in:	Mechanical systems and signal processing 2015-12, Vol.64-65, p.217-232
Hauptverfasser:	Liu, Qinming, Dong, Ming, Lv, Wenyuan, Geng, Xiuli, Li, Yupeng
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive training Algorithms Health Hidden semi-Markov model Hydraulics Mathematical models Mechanical systems Monitoring Prognosis Regression Remaining useful lifetime
Online-Zugang:	Volltext
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