Particle filter based hybrid prognostics for health monitoring of uncertain systems in bond graph framework
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- 作者：Mayank Shekhar Jhaa ; jha.mayank.jha@gmail.com" class="auth_mail" title="E-mail the corresponding author ; G. Dauphin-Tanguya ; genevieve.dauphin-tanguy@ec-lille.fr" class="auth_mail" title="E-mail the corresponding author ; B. Ould-Bouamamab ; Belkacem.Ouldbouamama@polytech-lille.fr" class="auth_mail" title="E-mail the corresponding author
- 关键词：RUL ; Remaining Useful Life ; EOL ; End of Life ; DM ; Degradation Model ; BG ; Bond Graph ; BG-LFT ; Bond Graph in Linear Fractional Transformation ; PF ; Particle Filters ; I-ARR ; Interval Valued Analytical Redundancy Relations ; DPP ; Degradation Progression Parameter ; RMAD ; Relative Median Absolute Deviation ; RA ; Relative Accuracy ; RMSE ; Root Mean Square Error ; SIR ; Sampling Importance Resampling ; ARR ; Analytical Redundancy Relations
- 刊名：Mechanical Systems and Signal Processing
- 出版年：2016
- 出版时间：15 June 2016
- 年：2016
- 卷：75
- 期：Complete
- 页码：301-329
- 全文大小：6086 K
文摘
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Novel integration of Bond Graph modeling framework and Particle Filter for estimation of state of health of system parameter and prediction of remaining useful life.
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Novel algorithm for interval valued Thresholds for robust detection of degradation beginning.
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Novel method proposed to obtain observation equation from nominal residual.
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Novel simplified variance adaptation scheme for particle filters proposed, results in efficient estimation and prediction.
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Approach demonstration by simulation and real time experiment on mechatronic Torsion bar system.