2 papers
cs.LG2024
TDANet: A Novel Temporal Denoise Convolutional Neural Network With Attention for Fault Diagnosis
Zhongzhi Li, Rong Fan, Jingqi Tu +3
Fault diagnosis plays a crucial role in maintaining the operational integrity of mechanical systems, preventing significant losses due to unexpected failures. As intelligent manufa…
cs.LG2024
Scalable and reliable deep transfer learning for intelligent fault detection via multi-scale neural processes embedded with knowledge
Zhongzhi Li, Jingqi Tu, Jiacheng Zhu +2
Deep transfer learning (DTL) is a fundamental method in the field of Intelligent Fault Detection (IFD). It aims to mitigate the degradation of method performance that arises from t…