Asymmetric inter-intra domain alignments (AIIDA) method for intelligent fault diagnosis of rotating machinery-Reference-Cited by-同舟云学术

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Asymmetric inter-intra domain alignments (AIIDA) method for intelligent fault diagnosis of rotating machinery

Published:2022-02 Issue: Volume:218 Page:108186
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Lee Jinwook,Kim Myungyon,Ko Jin Uk,Jung Joon Ha,Sun Kyung Ho,Youn Byeng D.

Funder

National Research Foundation of Korea

Ministry of Science and ICT, South Korea

Korea Institute of Machinery and Materials

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference44 articles.

1. A reliable technique for remaining useful life estimation of rolling element bearings using dynamic regression models;Ahmad;Reliab Eng Syst Saf,2019

2. Rolling element bearing diagnostics-a tutorial;Randall;Mech Syst Signal Proc,2011

3. Recent advances in prognostics and health management for advanced manufacturing paradigms;Xia;Reliab Eng Syst Saf,2018

4. A systematic methodology for Prognostic and Health Management system architecture definition;Li;Reliab Eng Syst Saf,2020

5. Hierarchical discriminating sparse coding for weak fault feature extraction of rolling bearings;Jiao;Reliab Eng Syst Saf,2019

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2. Revolution and peak discrepancy-based domain alignment method for bearing fault diagnosis under very low-speed conditions;Expert Systems with Applications;2024-10

3. Gradient Alignment based Partial Domain Adaptation (GAPDA) using a domain knowledge filter for fault diagnosis of bearing;Reliability Engineering & System Safety;2024-10

4. Fault Diagnosis Method for Wind Turbine Gearbox Based on Ensemble-Refined Composite Multiscale Fluctuation-Based Reverse Dispersion Entropy;Entropy;2024-08-20

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