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Title: Guohao Li: Innovator in Mechanical Fault Diagnosis and Wind Farm Optimization
Introduction
Guohao Li is a prominent inventor based in Tianjin, China. He has made significant contributions to the fields of mechanical fault diagnosis and wind farm optimization. With a total of 2 patents, his work showcases innovative methods and devices that enhance operational efficiency and reliability.
Latest Patents
Guohao Li's latest patents include a GIS mechanical fault diagnosis method and device. This method involves collecting vibration signals from various excitation sources during the mechanical operation of GIS. By performing wavelet packet-feature entropy vector extraction on these signals, the method identifies abnormalities and utilizes a pre-trained BP neural network for fault identification. This comprehensive approach allows for effective diagnosis of GIS mechanical faults.
Another notable patent is related to a wind farm layout and yaw control method, along with an electronic device. This method optimizes the power output of wind farms by simulating various parameters using a WFSim model. By adjusting modifiable layout and yaw parameters, the method ensures optimal working conditions and enhances power generation efficiency.
Career Highlights
Guohao Li has worked with esteemed institutions such as Tianjin University and the Electric Power Science & Research Institute of State Grid Tianjin Electric Power Company. His experience in these organizations has contributed to his expertise in mechanical engineering and renewable energy solutions.
Collaborations
Throughout his career, Guohao Li has collaborated with notable colleagues, including Xiandong Xu and Yuze Zhao. These partnerships have fostered innovation and the development of advanced technologies in their respective fields.
Conclusion
Guohao Li's contributions to mechanical fault diagnosis and wind farm optimization highlight his role as a leading inventor in these domains. His innovative patents and collaborative efforts continue to influence advancements in technology and energy efficiency.