Auto-OBSD: Automatic parameter selection for reliable Oscillatory Behavior-based Signal Decomposition with an application to bearing fault signature extraction
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- 作者：Huan Huang ; hhuan061@uottawa.ca" class="auth_mail" title="E-mail the corresponding author ; Natalie Baddour ; Ming Liang
- 关键词：Bearing fault signature extraction ; Oscillatory behavior-based signal decomposition ; Tunable Q-factor wavelet transform ; Morphological component analysis ; Convergence index ; Smoothness index
- 刊名：Mechanical Systems and Signal Processing
- 出版年：2017
- 出版时间：1 March 2017
- 年：2017
- 卷：86
- 期：part_PA
- 页码：237-259
- 全文大小：4194 K
文摘
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Automatic parameter selection for Oscillatory Behavior-based Signal Decomposition.
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Investigation of parameter effects on OBSD for bearing fault signature extraction.
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A Convergence Index-guided self-tuning algorithm.
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Two self-tuning algorithms for the high Q-factor and regularization parameter.
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Validation of the proposed method via both simulated signals and experimental data.