Zhaorong Zeng

Title: Zhaorong Zeng: Innovator in Power Equipment Diagnosis

Introduction

Zhaorong Zeng is a notable inventor based in Hubei, China. He has made significant contributions to the field of power equipment diagnosis, holding a total of 3 patents. His work focuses on improving the accuracy and efficiency of fault diagnosis in power electronic equipment.

Latest Patents

Zhaorong Zeng's latest patents include a "Method and system for diagnosing open-circuit fault of power switching device of three-phase three-level rectifier." This innovation relates to the technical field of fault diagnosis of power electronic equipment. It provides a means to identify and locate an open-circuit fault in a power switching device. The method utilizes a deviation between expected and actual phase-to-phase voltage as a diagnosis variable, calculated through a screening technique to minimize errors. This approach ensures low-cost fault diagnosis without the need for additional hardware.

Another significant patent is the "Method and system for power equipment diagnosis based on windowed feature and Hilbert visualization." This method involves obtaining a dataset of monitoring data that contains power equipment fault features. It introduces windowed feature calculation with logarithmic constraints to process the data, leading to improved diagnostic accuracy. The use of convolutional neural networks enhances the intelligence of the diagnosis process.

Career Highlights

Zhaorong Zeng is affiliated with Wuhan University, where he continues to advance research in power equipment diagnostics. His innovative approaches have garnered attention in the field, contributing to the development of more efficient diagnostic tools.

Collaborations

Zhaorong has collaborated with notable colleagues, including Yigang He and Mingyun Chen, who have contributed to his research endeavors.

Conclusion

Zhaorong Zeng's work in power equipment diagnosis exemplifies the impact of innovative thinking in engineering. His patents reflect a commitment to enhancing diagnostic methods, ultimately leading to more reliable power electronic systems.