Unsupervised domain adaptation method for bearing fault diagnosis assisted by twin data under extreme sample scarcity
Zhihui Men, Dao Gong, Kai Zhou, Yuejian Chen, Jinsong Zhou
Topics & Concepts
Computer scienceNoise (video)Nonlinear systemArtificial intelligenceBearing (navigation)Synthetic dataFault (geology)Domain (mathematical analysis)Pattern recognition (psychology)Frequency domainTransfer of learningRolling-element bearingAlgorithmSimilarity (geometry)Time domainMachine learningSample (material)A priori and a posterioriAdaptation (eye)Noise reductionGenerative grammarData miningDomain adaptationUnsupervised learningGenerative modelTransfer functionMachine Fault Diagnosis TechniquesGear and Bearing Dynamics AnalysisFault Detection and Control Systems