Adaptive hidden Markov model-based online learning framework for bearing faulty detection and performance degradation monitoring
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- 作者：Jianbo Yu jianboyu.bob@gmail.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Machine faulty detection ; Health degradation monitoring ; Adaptive learning ; Hidden Markov model
- 刊名：Mechanical Systems and Signal Processing
- 出版年：2017
- 出版时间：15 January 2017
- 年：2017
- 卷：83
- 期：Complete
- 页码：149-162
- 全文大小：1524 K
文摘
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An adaptive learning scheme is proposed for machine health monitoring.
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An adaptive hidden Markov model (AHMM) is developed for online learning.
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A statistic indication is provided for recognition of new health states of machines.
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An AHMM-based health indication is developed for quantifying machine health.
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The results on bearings illustrate effectiveness of the proposed method.