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The fault diagnosis method of rolling bearing under variable working conditions based on deep transfer learning

Shaojiang Dong, Kun He, Baoping Tang

2020Journal of the Brazilian Society of Mechanical Sciences and Engineering31 citationsDOI

Topics & Concepts

Bearing (navigation)Fault (geology)Feature extractionVibrationAutoencoderArtificial intelligencePattern recognition (psychology)Frequency domainSIGNAL (programming language)Feature (linguistics)Computer scienceEngineeringControl theory (sociology)Deep learningComputer visionAcousticsPhysicsSeismologyGeologyPhilosophyProgramming languageLinguisticsControl (management)Machine Fault Diagnosis TechniquesFault Detection and Control SystemsEngineering Diagnostics and Reliability
The fault diagnosis method of rolling bearing under variable working conditions based on deep transfer learning | Litcius