Xiaoman Zhang

Title: Xiaoman Zhang and Wind Turbine Monitoring Innovation.

Introduction

Xiaoman Zhang is an inventor associated with Urumqi, China, and Goldwind Science & Technology Co., Ltd. Her patent work addresses monitoring the operating condition of wind turbines and identifying abnormal operation before it contributes to equipment damage.

Latest Patents

Zhang is associated with 1 patent: “Detection Method for Wind Driven Generator, and Related Apparatus.” The invention describes a method and apparatus that collect a wind turbine’s operating data over a preset period and use those data to determine a comprehensive measure of its continuous operating state.

When that measure exceeds a first threshold, the system generates an alarm indicating potentially abnormal operation. This threshold is lower than a second threshold used to determine whether the turbine has a fault, allowing the system to flag unhealthy operating conditions before a fault is confirmed. The approach is intended to help reduce fatigue loads and the risk of shortened equipment life by enabling earlier attention to potential problems.

The patent also describes a computer-readable storage medium, computer device, and detection system for carrying out the method.

Career Highlights

Zhang’s listed patent connects data-based condition monitoring with wind turbine maintenance. By distinguishing an early-warning threshold from a fault-detection threshold, the invention aims to help operators identify potentially harmful operating patterns in time to respond.

Collaborations

Zhang’s listed coworkers include Fan Qu and Tao Sun. Her company, Goldwind Science & Technology Co., Ltd., is associated with the wind turbine detection invention.

Conclusion

Xiaoman Zhang’s patent focuses on detecting abnormal wind turbine operation through continuous data analysis and early alerts, supporting efforts to protect equipment and extend its service life.