Time-frequency supervised contrastive learning via pseudo-labeling: An unsupervised domain adaptation network for rolling bearing fault diagnosis under time-varying speeds
Bin Pang, Qiuhai Liu, Zhenduo Sun, Zhenli Xu, Ziyang Hao
Topics & Concepts
Computer scienceArtificial intelligencePattern recognition (psychology)Classifier (UML)Feature extractionAutoencoderFrequency domainFeature learningDeep learningSpeech recognitionMachine learningComputer visionMachine Fault Diagnosis TechniquesOsteoarthritis Treatment and MechanismsGear and Bearing Dynamics Analysis