Maximum correlation Pearson correlation coefficient deconvolution and its application in fault diagnosis of rolling bearings-Reference-Cited by-同舟云学术

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Maximum correlation Pearson correlation coefficient deconvolution and its application in fault diagnosis of rolling bearings

Published:2022-12 Issue: Volume:205 Page:112162
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Qin Limu,Yang Gang,Sun Qi

Funder

Sichuan Province Science and Technology Support Program

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference65 articles.

1. Fault detection and diagnostic method of diesel engine by combining rule-based algorithm and BNs/BPNNs;Cai;J. Manuf. Syst.,2020

2. Data-driven early fault diagnostic methodology of permanent magnet synchronous motor;Cai;Expert Syst. Appl.,2021

3. Remaining useful life re-prediction methodology based on Wiener process: Subsea christmas tree system as a case study;Cai;Comput. Ind. Eng.,2021

4. Optimal sensor placement methodology of hydraulic control system for fault diagnosis;Kong;Mech. Syst. Sig. Process.,2022

5. Research on bearing fault feature extraction based on singular value decomposition and optimized frequency band entropy;Li;Mech. Syst. Signal Process.,2019

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