Vibration noise analysis in power equipment condition monitoring: from signal processing to intelligent diagnosis

The increasing demand for reliable power systems necessitates advanced methods for monitoring and diagnosing electrical equipment. This study focuses on low-frequency noise characteristics and electromagnetic vibrations in transformers and induction motors, exploring vibration signal processing techniques and fault diagnosis methods. Through multi-physical field coupling simulations and global demodulation algorithms, the research examines vibration characteristics and develops targeted noise reduction strategies. Case studies of transformer core vibration fault diagnosis demonstrate the practical application of these methods. The findings provide valuable guidance for power equipment maintenance and noise control.