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View article: TDANet: A Novel Temporal Denoise Convolutional Neural Network With Attention for Fault Diagnosis
TDANet: A Novel Temporal Denoise Convolutional Neural Network With Attention for Fault Diagnosis Open
Fault diagnosis plays a crucial role in maintaining the operational integrity of mechanical systems, preventing significant losses due to unexpected failures. As intelligent manufacturing and data-driven approaches evolve, Deep Learning (D…
View article: Scalable and reliable deep transfer learning for intelligent fault detection via multi-scale neural processes embedded with knowledge
Scalable and reliable deep transfer learning for intelligent fault detection via multi-scale neural processes embedded with knowledge Open
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 the discrepancies in data distribution between training set …
View article: Application of LSTM Approach for Predicting the Fission Swelling Behavior within a CERCER Composite Fuel
Application of LSTM Approach for Predicting the Fission Swelling Behavior within a CERCER Composite Fuel Open
Irradiation-induced swelling plays a key role in determining fuel performance. Due to their high cost and time demands, experimental research methods are ineffective. Knowledge-based multiscale simulations are also constrained by the loss …