Zhejiang, China

Daolin Lan


Average Co-Inventor Count = 13.0

ph-index = 1


Company Filing History:


Years Active: 2022

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Daolin Lan: Innovator in Intelligent Diagnosis for Power Transformers

Introduction

Daolin Lan is a prominent 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 winding deformation, which can pose serious risks to the safe operation of power networks.

Latest Patents

Daolin Lan 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. In contrast, Lan'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 approach enhances diagnosis efficiency while reducing labor costs.

Career Highlights

Throughout his career, Daolin Lan has worked with several notable 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 companies has allowed him to develop and refine his innovative diagnostic methods.

Collaborations

Daolin Lan has collaborated with several 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

Daolin Lan's work in intelligent diagnosis for power transformers represents a significant advancement in electrical engineering. His innovative methods not only improve the safety and efficiency of power networks but also demonstrate the importance of ongoing research and development in this critical field.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…