A5034302229- Machine Fault Diagnosis Techniques
- Risk and Safety Analysis
- Fault Detection and Control Systems
Sinochem Group (China)
2021-2022
Any failure of the turbofan engine, as one key components space shuttle, can lead to serious accidents. Therefore, it is necessary predict remaining useful life (RUL) guarantee its reliability and safety. This paper proposes a multi-task learning-based self-attention encoding atrous convolutional neural network called MSA-CNN effectively realizes RUL prediction. Specifically, in order extract fault feature information, an (ACNN) used auxiliary task network, which more efficient than...
The turbofan engine is an important part of the space shuttle. Once it fails, will directly affect life entire aircraft, and even cause more serious safety problems. In order to avoid this kind accident, necessary predict remaining useful (RUL) it. This paper proposes a classification-assisted prediction network (CAPN) through multi-task learning method, which effectively realizes RUL prediction. First, in better complete fault recognition task extract feature information, Atrous...