Rolling bearing fault sparseness diagnosis method based on average random weak orthogonal matching pursuit

Abstract

The invention discloses a rolling bearing fault sparseness diagnosis method based on average random weak orthogonal matching pursuit. The method comprises the steps of firstly, constructing an overcomplete dictionary according to a collected rolling bearing vibration signal, completing initialized setting of algorithm parameters, and estimating sparseness of an original signal; secondly, adoptingan average random weak orthogonal matching pursuit algorithm to update a sparseness dictionary and residual errors; finally, and using the obtained sparseness dictionary to calculate sparseness representation coefficients, so that a fault signal is obtained through reconstruction. The steps are repeated N times, and the final processing result is obtained through set average. By means of the rolling bearing fault sparseness diagnosis method, through a residual error updating mode of estimating and improving atomicity, the influence of artificial setting of the sparseness on the decomposition result is avoided; through an improved simulated annealing algorithm, the probability that small-amplitude fault components are extracted is increased, the problem that weak periodic impact features are difficult to extract effectively is solved, and the method is significant in achieving weak fault diagnosis of a rolling bearing in the early period.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and relates to a rolling bearing fault sparse diagnosis method based on average random weak orthogonal matching tracking, which can realize effective extraction of fault features in rolling bearing vibration signals. Background technique [0002] In recent years, new energy, as a renewable and clean energy that can be recycled, has been highly valued by countries all over the world, and some new energy utilization technologies have made great progress. With the characteristics of wide distribution and large reserves, wind energy has achieved sustained and rapid development in countries all over the world. As a country with great economic growth, my country has always used wind power as the main power generation. It is estimated that the installed capacity of wind power in my country will reach 1 billion kilowatts in 2050. As the key equipment for converting wind energy into electrical ...

AI Technical Summary

Problems solved by technology

This method can well overcome the shortcomings of the orthogonal matching pursuit, such as the difficulty of adapting the sparsity and the difficulty of extracting weak impact features, and then realize the effective extraction of weak fault features.

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