Litcius/Paper detail

Unsupervised rotating machinery fault diagnosis method based on integrated SAE–DBN and a binary processor

Jialin Li, Xueyi Li, David He, Yongzhi Qu

2020Journal of Intelligent Manufacturing69 citationsDOI

Topics & Concepts

AutoencoderArtificial intelligenceDeep belief networkUnsupervised learningComputer scienceFault (geology)Pattern recognition (psychology)Process (computing)Binary classificationMachine learningBinary numberDeep learningData miningSupport vector machineMathematicsArithmeticGeologySeismologyOperating systemMachine Fault Diagnosis TechniquesFault Detection and Control SystemsGear and Bearing Dynamics Analysis
Unsupervised rotating machinery fault diagnosis method based on integrated SAE–DBN and a binary processor | Litcius