A liquid-impulse neural network model based on heterogeneous fusion of multimodal information for interpretable rotating machinery fault diagnosis
You Keshun, Yingkui Gu, Haidong Shao, Yajun Wang
Topics & Concepts
InterpretabilityComputer scienceArtificial intelligenceFusion mechanismArtificial neural networkRobustness (evolution)Impulse responsePattern recognition (psychology)PreprocessorFeature extractionFusionSensor fusionFeature (linguistics)Artificial noiseNoise (video)Coding (social sciences)Impulse (physics)Machine learningEmulationDeep learningTime domainGeneralizationBenchmark (surveying)Fault detection and isolationMachine Fault Diagnosis TechniquesStructural Health Monitoring TechniquesFault Detection and Control Systems