ph.d, Shandong University, China
Wang Hao is a dedicated researcher in electrical engineering, specializing in vibration noise suppression technology for large oil-filled equipment and functional ceramic doping modification. Born in April 1995 in Jining City, Shandong Province, he is a member of the Communist Party of China. Currently pursuing his Ph.D. at Shandong University under the supervision of Prof. Zhang Li, he has made remarkable contributions to the field, particularly in the development of innovative noise suppression techniques. His research findings have been widely recognized in prestigious journals, and his work plays a crucial role in enhancing the reliability of high-end power equipment.
Publication Profile
Scopus
🎓 Education:
Wang Hao’s academic journey began with a Master’s degree in Electrical Engineering from Xinjiang University (2018-2021), where he conducted extensive research under Prof. Zhao Hongfeng. He then pursued his Ph.D. at Shandong University (2021-2025), deepening his expertise in the vibration noise mechanism and suppression of large converter transformers. His strong academic foundation has positioned him as a leading researcher in electrical power engineering.
💼 Experience:
With a rich research background, Wang Hao has been actively involved in numerous high-impact projects funded by the State Grid Corporation of China and the National Natural Science Foundation of China. His work on key technologies for suppressing converter transformer vibration and reducing noise has significantly influenced power transmission systems. As a main participant in multiple national-level projects, he has contributed to advancing ultra-high voltage equipment technology and optimizing operating environments for large-scale power systems. His research outcomes have been implemented in major industrial applications, benefiting power grid reliability and efficiency.
🏆 Awards and Honors:
Wang Hao’s groundbreaking research has earned him several accolades. His contributions to vibration and noise reduction in power transformers have been recognized in high-impact journals and conferences. His excellence in project execution has been acknowledged by the State Grid Corporation of China, where his research findings have been successfully applied to product upgrades. Additionally, he has authored numerous patents, further solidifying his role as an innovator in electrical engineering.
🔬 Research Focus:
Wang Hao’s primary research revolves around the vibration noise mechanism in converter transformers and the deep suppression of such disturbances. His work integrates finite element simulation, deep learning, and experimental validation to enhance the performance of large-scale oil-filled equipment. Additionally, his research on functional ceramic doping modification has led to advancements in ZnO varistors, improving their electrical properties. His studies bridge the gap between theoretical modeling and practical applications, contributing to the sustainable development of power systems.
🔚 Conclusion:
Wang Hao is a rising star in the field of electrical engineering, contributing groundbreaking research on vibration noise suppression and functional ceramic modifications. His extensive publication record, involvement in high-impact projects, and innovative approaches to power system reliability make him a valuable asset to the industry. With a strong academic and research background, he continues to drive advancements in large-scale power equipment technology, paving the way for a more efficient and resilient energy infrastructure.
🔗 Publications:
Finite element simulation and experimental study on vibration characteristics of converter transformer under DC bias. Protection and Control of Modern Power Systems. (2024) [Cited by X articles] [🔗Link]
Research on Novel Noise Reduction of Converter Transformers Based on Dipole and Multipole Boundary. International Journal of Electrical Power and Energy Systems. (2023) [Cited by X articles] [🔗Link]
Impact of Component Structure on Vibration and Noise of Converter Transformers under Harmonic Excitation. High Voltage. (2023) [Cited by X articles] [🔗Link]
A vibration similarity model of converter transformer and its verification method. Symmetry. (2023) [Cited by X articles] [🔗Link]
An economical dopant for improving the comprehensive electrical properties of ZnO varistor ceramics. Materials Letters. (2022) [Cited by X articles] [🔗Link]
A Convolutional Neural Network Based on Attention Mechanism for Designing Vibration Similarity Models of Converter Transformers. Machines. (2022) [Cited by X articles] [🔗Link]
Effect of Sintering Process on the Electrical Properties and Microstructure of Ca-doped ZnO Varistor Ceramics. Materials Science in Semiconductor Processing. (2022) [Cited by X articles] [🔗Link]
Research on comprehensive deep suppression technology for vibration and noise of converter transformers. IEEE Transactions on Magnetics. (Submitted)