Bearing health assessment and prediction method and system

Abstract

The invention provides a bearing health assessment and prediction method and system. The method comprises the following steps: acquiring a vibration signal in the running process of a bearing; processing the vibration signal to acquire time domain statistical characteristic, a time frequency domain energy characteristic and a trigonometric function characteristic of the vibration signal; selecting the characteristics which are mostly sensitive to the bearing degradation according to the characteristic index of the bearing degradation, so as to form characteristic vectors; selecting the characteristic vectors during the normal running of the bearing as input vectors to train a self-organizing characteristic mapping network and establishing a self-organizing characteristic mapping network model; solving the minimum quantization error corresponding to each characteristic vector in the self-organizing characteristic mapping network model; constructing health indexes which reflect the bearing degradation performance by utilizing the minimum quantization errors; and predicting the trend of the bearing degradation by utilizing an extreme learning machine prediction method and the health indexes. According to the bearing health assessment and prediction method and system, the degradation degree in the bearing degradation process can be correctly described, and the trend of the bearing degradation can be accurately predicted.

Description

technical field [0001] The invention relates to the technical field of failure prediction of mechanical equipment, in particular to the technical field of performance evaluation and prediction of bearings, specifically a method and system for bearing health evaluation and prediction. Background technique [0002] With the advancement of science and technology and the development of industry, in order to improve production efficiency and reduce production costs, industrial machinery and equipment are increasingly developing in the direction of large-scale, systematization and automation. The scale of industrial production systems is getting larger and larger. The pages are getting closer and closer; in order to meet the production requirements, the structure and functions of key equipment are becoming more and more complex. Due to the harsh and changeable working environment, they will gradually age during long-term operation, and the possibility of potential failures will als...

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Problems solved by technology

[0005] In view of the shortcomings of the prior art described above, the purpose of the present invention is to provide a method and system for bearing health assessment and prediction, which is used to solve the problem in the prior art that the accuracy of bearing evaluation degradation performance and trend prediction is not high

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