Double-dictionary matching pursuit bearing fault degree evaluation method based on multiple index properties

Abstract

Provided is a double-dictionary matching pursuit bearing fault degree evaluation method based on multiple index properties, and belongs to the technical field of bearing fault diagnosis. The index properties include an LZC index, a kurtosis index and a pulse index. According to bearing vibration signal features, a modulation dictionary and an impact time frequency dictionary are selected to form a double dictionary, matched atoms are selected in each sub-dictionary of the double dictionary in each iteration, and coefficients of various orders are compared to obtain the most matched atom. An analysis signal is projected on an iteration atom of each time, and the signal is subtracted by the projection to form a residual signal for next decomposition. The decomposition process is finished after iteration ending conditions are met, the matched atoms and the matching coefficients are extracted, signals are reconstructed, an LZC index, a kurtosis index and a pulse index of the reconstructed signal are calculated, and fault degree evaluation is achieved through the change tendency of the three indexes.

Description

technical field [0001] The present invention relates to a bearing fault degree evaluation method, in particular to a multi-index feature double dictionary matching tracking bearing fault degree evaluation method, the multi-index features are LZC index, kurtosis index and pulse index, belonging to bearing fault diagnosis technology field. Background technique [0002] Bearings are important components of rotating machinery and equipment, and have a high failure rate. At present, the research on bearing fault diagnosis mainly focuses on the qualitative diagnosis such as the judgment of the fault and the pattern recognition of the fault type. Evolution law, so as to truly effectively guide equipment maintenance and save production costs. [0003] Scholars at home and abroad have carried out useful explorations and achieved certain results in the quantitative diagnosis of bearing faults. At present, the evaluation of fault severity is mainly based on the angle of energy and e...

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Problems solved by technology

However, the signals collected from the production site contain a lot of noise and interference components, which will greatly affect the effect of index evaluation.

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