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
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