Rotary machinery fault prediction method and system based on health index and particle filtering

Abstract

The invention discloses a rotating machine fault prediction method and system based on a health index and particle filtering. The method comprises the following steps: firstly, extracting an appropriate health index on the basis of multi-feature evaluation; then, mining an abnormal sample based on the abnormal change of the health index amplitude; based on the periodic characteristic of the rotating machine fault, the fast spectral kurtosis-multipoint optimal minimum entropy deconvolution is utilized to realize early fault characteristic enhancement, approach to an early fault occurrence node and determine a residual service life prediction starting point, and more samples with fault information are provided for subsequent residual service life prediction; and finally, based on a particle filtering method, realizing probability prediction of the residual service life of the rotating machine. The fault prediction method provided by the invention has the advantages of simple theory, relatively high feasibility, relatively high result confidence and the like, and can be suitable for fault prediction under the confidence interval of the rotating machinery.

Description

technical field [0001] The invention relates to the field of rotating machinery fault prediction, in particular to a rotating machinery fault prediction method and system based on a health index and particle filtering. Background technique [0002] Scientific Remaining Useful Life (RUL) prediction can effectively improve the safety performance of mechanical equipment and maximize the equipment capacity. Rotating machinery is widely used in mechanical equipment. RUL prediction of rotating machinery is a systematic project in the field of Prognostics and Health Management (PHM), which needs to rely on a series of preliminary technical work (such as data perception, health index extraction, failure prediction, etc.) Intelligent operation and maintenance of equipment. On how to realize the RUL prediction of rotating machinery, researchers have carried out a lot of work and proposed a series of RUL prediction methods. Specifically, the prediction work is based on extracting a ...

AI Technical Summary

Problems solved by technology

For this reason, the present invention proposes a rotating machinery failure prediction method and system based on health index and

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