Zhejiang, China

Qiaoqun Xia


Average Co-Inventor Count = 13.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Qiaoqun Xia: Innovator in Intelligent Diagnosis for Power Transformers

Introduction

Qiaoqun Xia is a notable inventor based in Zhejiang, China. He has made significant contributions to the field of electrical engineering, particularly in the diagnosis of power transformers. His innovative approach addresses critical issues related to transformer safety and efficiency.

Latest Patents

Qiaoqun Xia holds a patent for an "Intelligent on-line diagnosis and positioning method for winding deformation of power transformers." This invention provides a solution for diagnosing winding deformation, which can occur due to short-circuit shocks or transportation collisions. Traditional diagnosis methods require transformers to be shut down and rely on highly skilled operators. Xia's method combines information entropy and support vector machines to enable intelligent, on-line diagnosis. By utilizing feature extraction of current and voltage signals, his invention enhances diagnosis efficiency while reducing labor costs.

Career Highlights

Throughout his career, Qiaoqun Xia has worked with several prominent organizations. He has been associated with the State Grid Zhejiang Electric Power Company Limited, the Electric Power Research Institute, and Hangzhou Kelin Electric Co., Ltd. His experience in these institutions has allowed him to develop and refine his innovative ideas in the field of electrical engineering.

Collaborations

Qiaoqun Xia has collaborated with notable professionals in his field, including Yiming Zheng and Wenhao Wang. These collaborations have contributed to the advancement of his research and the successful implementation of his inventions.

Conclusion

Qiaoqun Xia's work in intelligent diagnosis for power transformers showcases his commitment to enhancing safety and efficiency in electrical engineering. His innovative patent reflects a significant advancement in the field, promising to improve the operational reliability of power networks.

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