A condition-based prognostic approach for age- and state-dependent partially observable nonlinear degrading system

•An age- and state-dependent nonlinear degradation model is proposed for prognosis.•Nonlinearity between measurements and hidden degradation is characterized by a state space model.•Extended Kalman filtering and expectation-maximization algorithm are jointly applied to update the model.•Analytical d...

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Veröffentlicht in:	Reliability engineering & system safety 2023-02, Vol.230, p.108854, Article 108854
Hauptverfasser:	Pang, Zhenan, Li, Tianmei, Pei, Hong, Si, Xiaosheng
Format:	Artikel
Sprache:	eng
Schlagworte:	Age Algorithms Degradation expectation-maximization (EM) extended Kalman filter (EKF) Kalman filters Life prediction Nonlinear systems Nonlinearity Parameters Reliability engineering remaining useful life State space models unit-to-unit variability Useful life
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