This inventor holds 2 USPTO granted patents. Top assignee: Csg Power Generation Co., Ltd.. Active years: 2023-2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023-2024
Title: Innovations of Yanming Gao
Introduction
Yanming Gao is a notable inventor based in Guangzhou, China. He has made significant contributions to the field of intelligent prediction algorithms, particularly in the context of analog measurement values. With a total of two patents to his name, Gao's work showcases his expertise and innovative thinking.
Latest Patents
Gao's latest patents include a "Self-adaptive test method for intelligent prediction algorithm of analog measured values." This patent provides a method for reading event recording sequences and analog measurement point data to calculate simulated measured values. It also includes a mechanism for sending alerts to technicians when sensitivity thresholds are exceeded. Another patent is the "Method for self-adaption faster-than-real-time working condition start-up state prediction and estimation of unit." This invention focuses on estimating the working condition of a unit by analyzing historical data and sending pre-warnings for preventive operations when abnormal states are detected.
Career Highlights
Yanming Gao is currently employed at CSG Power Generation Co., Ltd. His role involves developing innovative solutions that enhance the efficiency and reliability of power generation systems. His work is characterized by a commitment to advancing technology in the energy sector.
Collaborations
Gao collaborates with talented coworkers, including Hao Zhang and Man Chen. Their combined expertise contributes to the innovative projects at CSG Power Generation Co., Ltd.
Conclusion
Yanming Gao's contributions to the field of intelligent prediction algorithms demonstrate his innovative spirit and dedication to advancing technology. His patents reflect a commitment to improving the efficiency of power generation systems, making him a valuable asset in his field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile