A5022501777- Machine Fault Diagnosis Techniques
- Structural Health Monitoring Techniques
- Image and Signal Denoising Methods
- Gear and Bearing Dynamics Analysis
- Magnetic Bearings and Levitation Dynamics
- Blind Source Separation Techniques
- Advanced Computational Techniques and Applications
- Fault Detection and Control Systems
- Mathematical Analysis and Transform Methods
Xiamen University
2022-2024
Accurate shaft speed extraction is crucial for synchronous sampling in the fault diagnosis of wind turbines. However, traditional narrow-bandpass filtering techniques face limitations when dealing with large fluctuations rotational speed, hindering accurate construction an instantaneous phase resampling a shaft. To overcome this, we propose tachometer-less based on Scaling-Basis Chirplet Transform, tailored to turbine’s structure and operating conditions. The algorithm generates...
Abstract Conventional balancing methods for high-speed flexible rotors typically necessitate costly and potentially hazardous tests conducted near their critical speeds. This paper first demonstrates the feasibility of achieving multi-mode using measurements taken below speed, based on traditional modal rotor parameters. However, while theoretically viable, this approach is highly susceptible to measurement noise, complicating its practical implementation. To address issue, we propose an...
In numerous engineering applications, the instantaneous frequency (IF) needs to be identified rapidly and precisely, especially in rotating machinery condition monitoring, where quasi-real-time analysis is a favorable option, any error shaft speed (identified from IF) reduced prevent it accumulating with time. The modern time-frequency (TFA) method provides way for IF identification; however, sometimes, still suffers energy smearing closely-spaced interference. addition, many TFA methods...