Xinlu Li

ORCID: 0000-0001-7365-3078
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About
Contact & Profiles
Research Areas
  • Engineering and Test Systems
  • Innovative Educational Techniques
  • Marine Toxins and Detection Methods
  • Educational Reforms and Innovations
  • Fault Detection and Control Systems
  • Biocrusts and Microbial Ecology
  • Engineering Diagnostics and Reliability
  • Aquatic Ecosystems and Phytoplankton Dynamics

East China Normal University
2024

Xidian University
2023

Huizhou University
2022

ocessing module is used to produce a failure mode dataset by fault injection and overlap sampling. An one-dimensional residual initial neural network proposed, which uses the inception structure as main body achieve multi-scale feature extraction of temporal sequence, adds increase model expression capability avoid falling into overfitting. The result also compared with various deep learning-based diagnosis models. Experiments prove that proposed method significantly improves accuracy...

10.1049/icp.2022.3072 article EN IET conference proceedings. 2023-01-13
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