Bearing life degradation performance evaluation index construction method based on main component analysis

Abstract

The invention discloses a bearing life degradation performance evaluation index construction method based on principle component analysis. First, time domain feature extraction, frequency domain feature extraction and time domain and frequency domain feature extraction are conducted on bearing degradation process full-service-life vibration data collected in each time, so that the degradation tread feature of a bearing is comprehensively extracted. Then, weighing fusion is conducted on the original feature through a principle component analysis algorithm to achieve feature simplification. A simplified feature index has the advantages of representing state information of a rolling bearing and further effectively eliminating original multi-dimensional feature inter-information redundancy, so that a rolling bearing service life degradation performance evaluation index based on feature space weighing fusion is effectively constructed, the shortcomings that a traditional evaluation index is insensitive to initial failures and is low in universality are overcome, and the degradation tendency of the bearing can be well presented.

Description

technical field [0001] The invention relates to the technical field of signal processing, in particular to a method for constructing a bearing life degradation performance evaluation index based on principal component analysis. Background technique [0002] Bearing life prediction technology based on signal processing method is a bearing condition evaluation technology developed with the development of modern signal processing technology. It constructs the degradation performance by studying the vibration signal characteristics of the bearing during operation or before failure Evaluation indicators, so as to predict the development trend of the later performance of the bearing through a certain model, and then realize the prediction of the life of the rolling bearing. In this process, the effective evaluation index of bearing degradation performance is the key to the accurate judgment of bearing performance. The content of its research involves many aspects such as signal p...

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Problems solved by technology

However, simply using the characteristics of a certain domain as the degradation performance index cannot satisfy the accurate expression of the complex degradation information of rolling bearings, and most of the above indicators are isolated and have no great connection. Although the selection of indicators does not involve The stability of the transformation to the parameters is good, but for different bearings and different working conditions of the same type of bearings, the performance of these indicators varies greatly, and none of the indicators can meet the universality and cannot fully and effectively reflect the bearing life under different conditions The degradation trend

[0004] The complexity and variability of the characteristic information of the rolling bearing degradation process make it difficult to obtain the characteristic points of the rolling bearing performance degradation and characterize the evolution trend of the rolling bearing life degradation only by relying on the characteristic index of a certain domain

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