Study on Fault Feature Extraction of Coal Mine Equipment under Transient Non-Stationary Conditions
JIANG Kuosheng
LU Zhenlian
CHEN Kai
Abstract：The transient non-stationary working conditions of high-speed and strong shock of coal mining machinery and equipment make it difficult to extract bearing fault features.To address these problems,a method based on order tracking is proposed for extracting bearing fault features by combining regression filters and order tracking.First,the transient frequencies of harmonics are estimated using a time-frequency analysis method based on a short-time linear chirp-Fourier transform of the non-stationary signal of the bearing.Then,the transient harmonic components are extracted by regression filter adaptive tracking to estimate the transient phase,and the signal is guided to resample in the angular domain.Lastly,,the order spectrum is analyzed.The experimental results show that the proposed method can accurately represent the corresponding fault characteristic order with a small error,i.e.,accurately extract the fault characteristics of coal mining machinery bearings.
Keywords：coal mining machinerytransient nonstationarybearingregression filterorder tracking
Publication Date：2024-03-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 27-32 )