Machine health prognostics using the Bayesian-inference-based probabilistic indication and high-order particle filtering framework
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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 health prognostics ; Self-organizing map ; Bayesian inference ; Logistic regression ; Particle filtering.
- 刊名：Journal of Sound and Vibration
- 出版年：2015
- 出版时间：8 December 2015
- 年：2015
- 卷：358
- 期：Complete
- 页码：97-110
- 全文大小：3819 K
文摘
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A novel prognostics system is developed based on a data-model-fusion scheme.
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Bayesian inference-based probability is developed as a health indication of machine.
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High-order particle filtering integrating logistic regression predicts machine health.
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The results illustrate the potential applications of the proposed prognostics system.