A Double Interpolation and Mutation Interval Reconstruction LMD and Its Application in Fault Diagnosis of Reciprocating Compressor
Author:
Affiliation:
1. Mechanical Science and Engineering Institute, Northeast Petroleum University, Daqing 163318, China
2. Shandong Fenghui Equipment Technology Co., Ltd., Jinan 250200, China
Abstract
Funder
Heilongjiang Natural Science Foundation in China
China Innovation and Entrepreneurship Training Program for College Students
Publisher
MDPI AG
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Link
https://www.mdpi.com/2076-3417/13/13/7543/pdf
Reference38 articles.
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3. Recent advances in time–frequency analysis methods for machinery fault diagnosis: A review with application examples;Feng;Mech. Syst. Signal Process.,2013
4. Machine learning applications in power system fault diagnosis: Research advancements and perspectives;Rachna;Eng. Appl. Artif. Intell.,2021
5. Variational time–frequency adaptive decomposition of machine multi-impact vibration signals;Zhao;Mech. Syst. Signal Process.,2023
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