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Deep multiple auto-encoder with attention mechanism network: A dynamic domain adaptation method for rotary machine fault diagnosis under different working conditions

Shengkang Yang, Xianguang Kong, Qibin Wang, Zhongquan Li, Han Cheng, Kun Xu

2022Knowledge-Based Systems79 citationsDOI

Topics & Concepts

Computer scienceArtificial intelligenceAutoencoderDeep learningEncoderFault (geology)Pattern recognition (psychology)Domain (mathematical analysis)Mechanism (biology)Machine learningPhilosophyGeologyMathematical analysisMathematicsOperating systemSeismologyEpistemologyMachine Fault Diagnosis TechniquesEngineering Diagnostics and ReliabilityOil and Gas Production Techniques
Deep multiple auto-encoder with attention mechanism network: A dynamic domain adaptation method for rotary machine fault diagnosis under different working conditions | Litcius