Rolling bearing performance degradation evaluation device and method

Abstract

The invention provides a rolling bearing performance degradation evaluation device and method. The device comprises an acceleration sensor, a data acquisition module, a feature extraction module, an SVDD evaluation module and a verification module. According to the method, the acceleration sensor is made to be used for acquiring vibration signals of a bearing to be measured and converting the vibration signals to simulation signals; the data acquisition module is made to be used for conducting amplifying, smoothing and other processing on the simulation signals, converting the simulation signals into digital signals and then transmitting the digital signals to a computer; the feature extraction module is used for extracting wavelet packet singular spectrum entropies of the vibration signals to serve as input feature vectors so as to be used for the SVDD evaluation module; The SVDD evaluation module is used for establishing a self-adaption SVDD model and evaluates the performance degradation process of the rolling bearing through the self-adaption SVDD module to obtain a performance degradation index DI; the verification module verifies the correctness of the evaluation result through an Hilbert envelope demodulation method based on EMD. The rolling bearing performance degradation evaluation device and method are applied to performance degradation evaluation of the rolling bearing in the whole life cycle.

Description

technical field [0001] A rolling bearing performance degradation evaluation device and method belong to the technical field of mechanical product quality reliability evaluation and fault diagnosis. Background technique [0002] With the rapid development of industrial demand, mechanical equipment has been continuously improved in terms of complexity, efficiency, and lightness, and it is also facing a more demanding working environment. Once a key component of the equipment fails, it may affect the entire production process, causing huge economic losses, and even causing casualties and other problems. Therefore, the equipment maintenance system is changing from traditional scheduled maintenance or after-event maintenance to condition-based maintenance. As a prerequisite for establishing a reasonable maintenance strategy, equipment performance degradation assessment has also begun to attract attention. [0003] Rolling bearings are one of the key components in rotating machin...

AI Technical Summary

Problems solved by technology

The stability indicators (such as root mean square value, root square amplitude, etc.) in the time domain indicators will gradually increase with the development of the fault, but the location of the initial damage cannot be judged

Although the sensitivity index (such as the kurtosis index) can identify the initial damage position, it will show a trend of rising first and then falling with the development of the fault, which does not conform to the development trend of the bearing fault degree

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