文章基本信息

标题：Research on bearing diagnosis technology based on wavelet transform and one-dimensional convolutional neural network
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作者：Dazhi Guo ; Qiang Wang ; Fengyan Wu 等
期刊名称：MATEC Web of Conferences
电子版ISSN：2261-236X
出版年度：2021
卷号：336
页码：1-6
DOI：10.1051/matecconf/202133601010
语种：English
出版社：EDP Sciences
摘要：Aiming at the fault diagnosis of rolling element bearings, propose a method for fine diagnosis of bearings based on wavelet transform and one-dimensional convolutional neural network. First use wavelet transform to decompose the experimental data; Use the resulting low-frequency signal as a one-dimensional convolutional neural network input, bearing fault identification. The experiment uses the deep groove ball bearing of Case Western Reserve University as the research object, Use this method to identify the normal and outer ring faults of the bearing. the result shows: This method can be effectively applied to the precise identification of bearings.