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AMCW-DFFNSA: An interpretable deep feature fusion network for noise-robust machinery fault diagnosis

Yan Han, Sipeng Lv, Qingqing Huang, Yan Zhang

2024Knowledge-Based Systems22 citationsDOI

Topics & Concepts

InterpretabilityArtificial intelligenceRobustness (evolution)Computer scienceDeep learningPattern recognition (psychology)Feature (linguistics)Machine learningWaveletFeature vectorNoise (video)Data miningImage (mathematics)ChemistryBiochemistryGeneLinguisticsPhilosophyMachine Fault Diagnosis TechniquesFault Detection and Control SystemsNon-Destructive Testing Techniques
AMCW-DFFNSA: An interpretable deep feature fusion network for noise-robust machinery fault diagnosis | Litcius