Adaptive hidden Markov model-based online learning framework for bearing faulty detection and performance degradation monitoring

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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

•: An adaptive learning scheme is proposed for machine health monitoring.
•: An adaptive hidden Markov model (AHMM) is developed for online learning.
•: A statistic indication is provided for recognition of new health states of machines.
•: An AHMM-based health indication is developed for quantifying machine health.
•: The results on bearings illustrate effectiveness of the proposed method.

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