Unsupervised fault detection with multi-source anomaly sensitivity enhancing convolutional autoencoder for high-speed train bogie bearings
Zhixuan Li, Kai Zhang, Qing Zheng, Guofu Ding, Wei Hao, Haizhu Zhang, Weihua Zhang
Topics & Concepts
AutoencoderBogieComputer scienceSensitivity (control systems)Anomaly detectionArtificial intelligencePattern recognition (psychology)Convolutional neural networkFault (geology)Fault detection and isolationReal-time computingDeep learningMachine learningGeologySeismologyElectronic engineeringEngineeringStructural engineeringActuatorMachine Fault Diagnosis TechniquesFault Detection and Control SystemsAnomaly Detection Techniques and Applications