Gear box single and composite fault diagnosis method, equipment and system

Abstract

The invention discloses a gear box single and composite fault diagnosis method, device and system, and belongs to the field of mechanical equipment state monitoring and fault diagnosis. The diagnosismethod comprises the following steps: (1) collecting vibration signals of the gearbox; (2) dividing the acquired vibration signals into a plurality of data segments, and calculating to obtain a wavelet time-frequency image corresponding to each data segment, wherein two adjacent data segments have overlapped data; (3) dividing the wavelet time-frequency image into a training set and a test set, and normalizing the training set and the test set; (4) training a multi-label convolutional neural network by using the training set; (5) testing the trained multi-label convolutional neural network byusing the test set; and (6) taking the qualified multi-label convolutional neural network as a fault diagnosis model. According to the method and equipment, the excellent feature extraction capabilityof wavelet transform, the excellent pattern recognition capability of the multi-label convolutional neural network and the applicability to the composite fault diagnosis problem are fully utilized, and single and composite fault diagnosis of the gearbox can be effectively realized.

Description

technical field [0001] The invention belongs to the field of mechanical equipment state monitoring and fault diagnosis, and relates to a single and composite fault diagnosis method, equipment and system of a gearbox, and more particularly, to a single gearbox based on a multi-label convolutional neural network and wavelet transform. And composite fault diagnosis method and application. Background technique [0002] Gearboxes are the most widely used components for transmitting speed and power in rotating machinery and play a vital role in manufacturing. However, due to the harsh working environment and complex internal structure, the main components of the gearbox such as gears, shafts and bearings are prone to local failures. The occurrence of gearbox failure can lead to unanticipated downtime, huge financial losses, and even serious catastrophes. Therefore, in order to ensure the safe operation of the mechanical system, people pay more and more attention to the research ...

AI Technical Summary

Problems solved by technology

[0006] However, at present, this fault diagnosis method is only widely used in single fault diagnosis of gears or bearings, and in real s

Images