Journal of Jilin University(Engineering and Technology Edition) ›› 2022, Vol. 52 ›› Issue (2): 450-457.doi: 10.13229/j.cnki.jdxbgxb20211139

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Gearbox complex fault diagnosis method based on improved minimum entropy deconvolution and singular spectrum decomposition

Jie ZHOU1,2(),Yun-yi WANG2,Chuan-hai CHEN1,2(),Li-ding WANG2,3,Kuo LIU3   

  1. 1.Key Laboratory of CNC Equipment Reliability，Ministry of Education，Jilin University，Changchun 130022，China
    2.College of Mechanical and Aerospace Engineering，Jilin University，Changchun 130022，China
    3.School of Mechanical Engineering，Dalian University of Technology，Dalian 116024，China
  • Received:2021-10-29 Online:2022-02-01 Published:2022-02-17
  • Contact: Chuan-hai CHEN E-mail:zj_zhongb@163.com;cchchina@foxmail.com

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Abstract:

Aiming at the problems of weak Complex fault signal and difficult to extract fault features of gearbox in strong noise environment， an improved minimum entropy deconvolution（MED） combined with singular spectrum decomposition（SSD） is proposed to extract fault features. Firstly， margin and power spectrum kurtosis（MPSK） index is constructed to optimize the parameters of MED； Secondly， the improved MED is used as the pre-filter of SSD to make up for the deficiency of SSD； Then the meaningful SSC components are selected by correlation coefficient analysis； Finally， the signal spectrum is analyzed to determine the fault characteristics. The effectiveness and superiority of the proposed method are verified by the Complex fault signal of simulation signal and gearbox test-bed.

Key words: singular spectrum decomposition, minimum entropy deconvolution, atom search optimization, combined mode function, complex fault

CLC Number: 

  • TH132.41

Fig.1

Flow chart of improved MED-SSD"

Fig.2

Simulation signal and results of performing the improved MED algorithm"

Table 1

Correlation coefficient of components with signal"

分量CC值
SSC10.0214
SSC20.1826
SSC30.2935
SSC40.3846
SSC50.5012

Fig.3

Comparison results of proposed method with traditional SSD method"

Fig.4

Experiment platform and bearing and gear fault diagram"

Fig.5

Test signal and decomposition results obtained by SSD"

Fig.6

Result obtained by proposed method"

Table 2

Correlation coefficients of components"

分量CC值分量CC值
SSC10.1632SSC50.3762
SSC20.0053SSC60.1265
SSC30.0368SSC70.0039
SSC40.4326
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