Detection of gear cracks in a complex gearbox of wind turbines using supervised bounded component analysis of vibration signals collected from multi-channel sensors
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- 作者：Zhixiong Lia ; b ; c ; zhixiong.li@unsw.edu.au" class="auth_mail" title="E-mail the corresponding author ; Xinping Yand ; Xuping Wange ; Zhongxiao Pengc ; z.peng@unsw.edu.au" class="auth_mail" title="E-mail the corresponding author
- 关键词：Wind turbine ; Gear crack ; Fault detection ; Bounded component analysis ; Order tracking
- 刊名：Journal of Sound and Vibration
- 出版年：2016
- 出版时间：9 June 2016
- 年：2016
- 卷：371
- 期：Complete
- 页码：406-433
- 全文大小：7434 K
文摘
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A gear crack detection methodology based on blind source separation is proposed.
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The bounded component analysis (BCA) is introduced to identify dependent information.
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A new supervised order tracking bounded component analysis (SOTBCA) is presented.
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The SOTBCA is able to accurately identify the crack fault vibration source.
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The SOTBCA was compared with state of art technologies by means of experiments.