Performance degradation feature assessment method based on time series change mutation point detection

Abstract

A performance degradation feature assessment method based on time series change mutation point detection comprises the steps of: providing four performance degradation feature assessment criteria consisting of an initial degradation point, the initial sensitivity, the failure mutation and the trend consistency; for the four performance degradation feature assessment criteria, respectively constructing quantitative indexes; constructing a linear regression equation of state variables and time series; solving coefficients of the linear regression equation, and extracting time series turning points by employing the F test; determining starting and ending points of the degradation state change, and calculating performance degradation feature assessment indexes; and finally, comparing indexes of different performance degradation features to assess the performance degradation features. The performance degradation feature assessment method provides the performance degradation feature assessment criteria and the corresponding quantitative assessment indexes having guiding significance on the extraction of the performance degradation features, greatly reduces the computational complexity and is high in efficiency.

Description

technical field [0001] The invention relates to the technical field of mechanical equipment performance detection, in particular to a performance degradation feature evaluation method based on the detection of mutation points of time series changes. Background technique [0002] As the connection between various parts of mechanical equipment becomes closer and closer, once a part fails, the entire equipment may be damaged, resulting in huge economic losses and personal threats. If the degree of performance degradation can be quantitatively evaluated before failure, targeted maintenance can be organized to avoid failure. Therefore, how to effectively monitor the performance changes of mechanical equipment components during operation, to discover hidden dangers and avoid failures in time, is an urgent problem to be solved. [0003] In general, during the process of mechanical equipment components from normal operation to failure, the performance of components will undergo a c...

AI Technical Summary

Problems solved by technology

[0004] Although the current performance degradation characteristics can reflect the performance degradation process from a certain aspect, there is no specific and effective evaluation system to guide the extraction of performance degradation characteristics

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