Wavelet transform based on inner product in fault diagnosis of rotating machinery: A review
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- 作者：Jinglong Chena ; Zipeng Lia ; Jun Pana ; Gaige Chena ; Yanyang Zia ; ziyy@mail.xjtu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Jing Yuanb ; Binqiang Chenc ; Zhengjia Hea
- 关键词：Wavelet transform ; Fault diagnosis ; Rotating machinery ; Inner product ; Super wavelet transform
- 刊名：Mechanical Systems and Signal Processing
- 出版年：2016
- 出版时间：March 2016
- 年：2016
- 卷：70-71
- 期：Complete
- 页码：1-35
- 全文大小：3122 K
文摘
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This paper reviews the developments of wavelet transform (WT) and the applications in rotating machinery fault diagnosis (RMFD).
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The essence on inner product operation of WT in RMFD is revealed by simulation and field test experiments.
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The development process of WT and the engineering applications of major developments in RMFD are summarized.
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Existent problems of wavelet transform are discussed and several important prospects are presented.