Mechanical rotating part performance degradation tracking method based on multi-feature fusion

Abstract

The invention discloses a mechanical rotating part performance degradation tracking method based on multi-feature fusion, and relates to a mechanical rotating part performance degradation tracking method. The objective of the invention is to solve the problems that an existing performance degradation tracking method cannot comprehensively and accurately describe all state information of a mechanical rotating part and cannot provide effective reference data for performance degradation of the mechanical rotating part. The method comprises the following steps: 1, acquiring degradation data of a mechanical rotating part; 2, extracting a plurality of features from the original vibration signal of the mechanical rotating part; 3, calculating the correlation, monotonicity, robustness and comprehensive indexes of the extracted features, and screening eight features with the highest comprehensive index value to form a sensitive feature data set; and step 4, constructing an LSTM network, inputting the sensitive feature data set screened in the step 4 into the LSTM network, and performing multi-feature fusion to obtain a fusion feature LSTM-HI which is the health factor. The method is used for mechanical rotating part performance degradation tracking.

Description

technical field [0001] The invention relates to a method for tracking performance degradation of mechanical rotating parts, in particular to a method for tracking performance degradation of mechanical rotating parts based on multi-feature fusion. It belongs to the technical field of fault prediction. Background technique [0002] With the development of material science and ultra-micro manufacturing technology, rotating machinery plays an increasingly important role in modern industry. However, the performance of rotating machinery will always degrade over time, leading to potential failure. Once the rotating machinery fails, it will not only cause huge economic losses, but also cause catastrophic casualties and serious social impact. [0003] Mechanical rotating parts are usually the most prone to failure. According to relevant research reports, about 30% of mechanical failures in rotating machinery using rolling bearings are caused by rolling bearings; more than 40% of i...

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Problems solved by technology

[0006] The purpose of the present invention is to solve the problem that most of the existing performance degradation tracking methods are only based on a characteristic parameter, which characterizes only part of the state information of the rotating parts, and cannot comprehensively and accurately describe all the state information of the mechanical rotating parts. The problem of providing valid reference data for performance degradation of mechanical rotating parts

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