Fault diagnosis and identification of rotating machinery based on one-dimensional convolutional neural network
Feifei Yu,
Guoyan Chen,
Canyi Du
et al.
Abstract:The paper focuses on two kinds of rotating machinery, miniature table drilling machine and automobile engine, as the research object. Traditional machine learning has the need for manual feature extraction, and is very dependent on expert diagnostic experience and expertise, but also has the disadvantages of low accuracy, low timeliness, low efficiency, etc. For the traditional rotating machinery fault diagnosis method is more based on the traditional machine learning model, this paper puts forward a one-dimen… Show more
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