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A novel sample selection approach based universal unsupervised domain adaptation for fault diagnosis of rotating machinery

Biliang Lu, Yingjie Zhang, Zhaohua Liu, Hua‐Liang Wei, Qingshuai Sun

2023Reliability Engineering & System Safety31 citationsDOIOpen Access PDF

Topics & Concepts

OutlierClassifier (UML)Computer scienceArtificial intelligenceDomain adaptationMachine learningPattern recognition (psychology)Sample spaceInvariant (physics)A priori and a posterioriDomain (mathematical analysis)Data miningTransfer of learningMathematicsPhilosophyEpistemologyMathematical physicsMathematical analysisMachine Fault Diagnosis TechniquesNon-Destructive Testing TechniquesStructural Integrity and Reliability Analysis
A novel sample selection approach based universal unsupervised domain adaptation for fault diagnosis of rotating machinery | Litcius