A5100364271- Engineering Diagnostics and Reliability
- Advanced Sensor and Control Systems
- Machine Fault Diagnosis Techniques
- Power Transformer Diagnostics and Insulation
- Network Security and Intrusion Detection
- Material Properties and Failure Mechanisms
- Fault Detection and Control Systems
- Advanced Computational Techniques and Applications
- Reliability and Maintenance Optimization
- Flow Measurement and Analysis
- Internet Traffic Analysis and Secure E-voting
- Advanced Measurement and Detection Methods
- Advanced Steganography and Watermarking Techniques
North China Electric Power University
2018-2024
China Electric Power Research Institute
2024
Chang'an University
2024
Zhengzhou University of Light Industry
2023
Wuhan Ship Development & Design Institute
2023
Air Force Engineering University
2020
Civil Aviation University of China
2011
This study utilizes the transfer matrix method to analyze modified Timoshenko beam with and without cracks. The massless torsional spring is assumed represent section where crack located. equation simplified using boundary conditions solved MATLAB. Additionally, influence of different depths positions on first three natural frequencies compared finite element analysis common types beams as examples. results indicate that increasing depth leads a decrease in frequency beam. However, impact...
To address the accurate detection of rotor unbalance faults, this paper proposes a new fault diagnosis method based on Wavelet Kernel Network(WKN). Firstly, experiments are implemented vibration test rig. Different weight blocks installed to obtain faults associaated with different severity levels. Secondly, unbalanced data is divided into training dataset and testing dataset, corresponding Network model dataset. Finally, diagnostic validated results demonstrate that it can identify degrees...
As the key equipment of power system, reliability transformer directly affects safe operation system. Due to existence familial defects in design, materials, and manufacturing processes, probability is relatively high, resulting a significantly higher fault rate after commissioning. At present, research on recognition method transformer's mainly based single parameter or small number parameters. There no comprehensive systematic automatically analyze identify defects. Therefore, this paper...