Gearbox fault diagnosis method and device based on improved PSO-BP neural network

Abstract

The invention provides a gearbox fault diagnosis method and device based on an improved PSO-BP neural network. The fault diagnosis method specifically comprises the following steps of (1) collecting vibration signals of a gearbox in a normal state and vibration signals in different fault states; (2) labeling the data samples; (3) performing normalization processing on the data through a normalization method; (4) carrying out dimension reduction processing on the data by adopting a principal component analysis method; (5) optimizing the weight and threshold of the BP neural network by adopting an improved PSO algorithm, and establishing a gearbox fault diagnosis model based on the optimized BP neural network; and (6) training by using the optimized BP neural network fault diagnosis model to obtain a final BP neural network fault diagnosis model. According to the fault diagnosis method and device provided by the invention, fault diagnosis accuracy of the gearbox is effectively improved, and the method and device have important practical engineering significance for improving safety production efficiency and reducing economic loss.

Description

technical field [0001] The invention relates to the technical field of fault diagnosis of rotating machinery, in particular to a fault diagnosis method and device for a gearbox based on an improved PSO-BP neural network. Background technique [0002] As an important part of mechanical equipment, the gearbox has a wide range of applications in the mechanical field. Whether its operating status is normal or not directly determines the operation of the entire mechanical equipment. The gearbox is a system with complex structure, which not only includes the box for overall support and sealing, but also gears, shafts, bearings, and other necessary components for transmitting power and motion. If the gearbox fails during operation, it will not only bring a certain loss to production efficiency, but also cause harm to personal safety. Therefore, in order to ensure the normal operation of equipment and protect the safety of life and property, it is of great application value and sig...

AI Technical Summary

Problems solved by technology

However, due to the uncertainty of the relationship between the cause and the symptom of the gearbox fault, and the factors such as season and environment will also have a great impact on the correct diagnosis, resulting in a high rate of misjudgment and missed judgment of the gearbox fault, which has a great impact on the safety of the equipment. Normal operation poses a major safety hazard

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