Fault Diagnosis Method of Mechanical Equipment Based on Transient Characteristics of Encoder Signal

Abstract

The invention provides a mechanical equipment fault diagnosis method based on the transient characteristics of the encoder signal. Firstly, the encoder data acquisition card is used to read the output of the encoder in the mechanical equipment to obtain the encoder signal y(t); Combine and sparse optimization problems and establish an iterative algorithm, use iterative algorithm to extract time-domain transient features x(t); then use order tracking algorithm to convert time-domain transient features x(t) into angle-domain transient features x (θ); finally, identify the angle interval T of the transient feature x(θ) in the angle domain, and then output the fault diagnosis result. The invention realizes the extraction of time-domain transient features under variable speed conditions, uses order tracking technology to eliminate the influence of speed changes, and provides accurate basis for the accurate use of encoder signals for mechanical equipment fault diagnosis under variable speed conditions, and It can automate the fault diagnosis of mechanical equipment, and make the fault diagnosis of mechanical equipment specific to the type of fault, so as to ensure the safe operation of the equipment.

Description

technical field [0001] The invention relates to the technical field of mechanical equipment fault diagnosis, in particular to a mechanical equipment fault diagnosis method based on the transient characteristics of encoder signals. Background technique [0002] In recent years, research has shown that encoder signals contain information indicative of the health of mechanical equipment. When the key components of mechanical equipment, such as gears and bearings, fail, transient characteristics will be generated in the encoder signal. However, fault-induced transient signatures are disturbed by other components in the encoder signal, making it difficult to monitor the health of mechanical equipment. [0003] Although some encoder signal feature extraction methods have been proposed in the prior art, the current methods are only aimed at the encoder signal feature extraction at a constant speed, and in engineering applications, mechanical equipment mostly works under variable s...

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Problems solved by technology

However, fault-induced transient signatures are disturbed by other components in the encoder signal, making it difficult to monitor the health of mechanical equipment

[0003] Although some encoder signal feature extraction methods have been proposed in the prior art, the current methods are only aimed at the encoder signal feature extraction at a constant speed, and in engineering applications, mechanical equipment mostly works under variable speed conditions. Therefore, diagnostic errors will occur in the fault diagnosis of mechanical equipment with variable speed

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