A5065324602- Fault Detection and Control Systems
- Electrical Fault Detection and Protection
- HVDC Systems and Fault Protection
- Electrical Contact Performance and Analysis
- Artificial Intelligence in Healthcare
- Urban Transport and Accessibility
- Engineering and Test Systems
- Anomaly Detection Techniques and Applications
- Human Mobility and Location-Based Analysis
- Transportation Planning and Optimization
- Risk and Safety Analysis
- Reliability and Maintenance Optimization
- Microgrid Control and Optimization
- Machine Fault Diagnosis Techniques
- Multilevel Inverters and Converters
- Power Systems Fault Detection
- Advanced Sensor Technologies Research
- Smart Systems and Machine Learning
- Railway Systems and Energy Efficiency
- Machine Learning in Healthcare
- Advanced Battery Technologies Research
Northwestern Polytechnical University
2019-2024
DC microgrids have attracted more and attention with its universality, high efficiency, potential application market. However, dc fault protection is still a challenge to the development of microgrids. In this article, novel bidirectional solid-state circuit breaker based on coupled inductor introduced. It can realize energy flow isolation interruption short-circuit faults fewer components. The working principle topology process under different conditions are described, some properties...
This paper aims to introduce the research status about protection technology for DC micro-grid system and summarizes protective devices methods of different structures systematically. Firstly, this introduces composition operation microgrid. Then, analyzes short circuit fault process proposes a general method evaluate current. Secondly, development variety used in is presented. Thirdly, considering that capacitor discharges instantly power electronic are vulnerable high current, various...
Modern aircrafts are developing from the traditional energy architecture to multi-electric and all electric architecture. The extensive use of electrical equipment puts forward higher requirements for safety, reliability, maintainability. PHM (Prognostics Health Management) technology is an advanced improve maintenance level aviation equipment. However, developed systems has difficulties in verifying its effectiveness. This paper completed requirement analysis test verification system,...
Intelligent learning algorithms, as one of the most currently remarkable data-driven approaches, have achieved great success in many applications, such fault diagnosis, state evaluation and life prognosis airborne equipment. This paper mainly introduces classification typical principles supervised unsupervised compares their differences application system health status assessment. Through establishment K-means clustering model artificial neural network model, data obtained from Monte Carlo...
The distributed arrangement of airborne equipment is an important feature more electric aircraft. health status assessment system and method need to be designed for the feature. This paper proposes intelligent PHM state adopts architecture optical fiber-wireless hybrid communication improve reliability flexibility system. Furthermore, expert weight determination based on grey synthetic incidence analysis proposed calculate corresponding weights different results, which can effectively accuracy.