Bearing fault detection method and device

Abstract

The invention discloses a bearing fault detection method and device. The method comprises that a vibration signal of a bearing is obtained, and preprocessed to obtain a vibration sequential signal to be processed; the vibration sequential signal to be processed is input to a pre-trained fault classification model to obtain a fault classification result of the bearing vibration signal; and the type of highest probability among all the classification results is the detected fault type, and bearing fault detection is completed. According to the method, vibration signal values sampled continuously according to the time sequence is used as a training sample for convolutional neural network directly, a signal feature extraction step in traditional fault recognition is not needed, influence of feature extraction on accuracy of a fault identification result is reduced, parameter training is carried out the whole network in a monitored way by combining labels, and thus, accurate bearing fault detection is realized.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of fault detection, and in particular to a bearing fault detection method and device. Background technique [0002] With the development of science and technology, electromechanical equipment in aviation, aerospace, industry and other fields are becoming more and more complex, intelligent and comprehensive, and the operating conditions and working environment are becoming more and more complex and changeable, resulting in higher and higher maintenance and guarantee costs. At the same time, Due to the increase of components and influencing factors, the probability of failure gradually increases. Therefore, accurate and effective fault detection for complex equipment systems has become a necessary step to improve system safety and reliability, and is an effective way to reduce maintenance costs. Bearings are one of the key components with wide application in mechanical equipment. Due ...

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Problems solved by technology

[0005] To this end, the embodiment of the present invention provides a bearing fault detection method and device to solve the problem that feature extraction occupies an important position in the fault diagnosis process in the prior art, and the quality of feature extraction affects the accuracy of fault identification. In many fault identification processes, there are multiple difficulties in feature extraction, which lead to difficult and inaccurate fault identification.

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