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Title: Ziyue Wang: Innovator in GIS Mechanical Fault Diagnosis
Introduction
Ziyue Wang is a notable inventor based in Tianjin, China. He has made significant contributions to the field of mechanical fault diagnosis, particularly in Gas Insulated Switchgear (GIS) technology. His innovative approach combines advanced signal processing techniques with artificial intelligence to enhance the reliability of GIS systems.
Latest Patents
Ziyue Wang holds a patent for a GIS mechanical fault diagnosis method and device. This patent describes a method that involves collecting vibration signals from various excitation sources during the mechanical operation of GIS. The process includes performing wavelet packet-feature entropy vector extraction on the collected signals when abnormalities are detected. The extracted vectors are then input into a pre-trained BP neural network for fault identification, allowing for comprehensive and effective diagnosis of GIS mechanical faults. This innovative method integrates vibration signals and utilizes entropy theory to improve fault classification and recognition.
Career Highlights
Throughout his career, Ziyue Wang has worked with prominent organizations, including the Electric Power Science & Research Institute of State Grid Tianjin Electric Power Company and State Grid Tianjin Electric Power Company. His experience in these institutions has allowed him to apply his research and innovations in practical settings, contributing to advancements in electrical engineering and power systems.
Collaborations
Ziyue Wang has collaborated with several professionals in his field, including Bin Qu and Li Zhang. These collaborations have fostered a productive environment for innovation and have led to significant advancements in GIS technology.
Conclusion
Ziyue Wang's contributions to GIS mechanical fault diagnosis exemplify the impact of innovative thinking in engineering. His patented methods and collaborative efforts continue to enhance the reliability and efficiency of power systems.