A5045892266- Power System Reliability and Maintenance
- Engineering Diagnostics and Reliability
- Smart Grid and Power Systems
- Visual Attention and Saliency Detection
- Fault Detection and Control Systems
- Advanced Image Fusion Techniques
- Image and Video Quality Assessment
- Electricity Theft Detection Techniques
- Engineering and Test Systems
Hunan Institute of Technology
2025
China Electronic Product Reliability and Environmental Test Institute
2023
South China University of Technology
2023
Ministry of Industry and Information Technology
2023
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...
Smart meter is an integral part of our state smart grid, which involves the interests millions households. Reliability evaluation based on operating data important problem in implementation grid operation and maintenance management. In view characteristics same type batch with multiple Type-I censored data, i.e., unequal time this paper introduces Weibull distribution to model its failure data. Then, applies maximum likelihood method estimate unknown parameters distribution. Moreover,...