Location History:
- Dalian, CN (2021)
- Liaoning, CN (2021)
Company Filing History:
Years Active: 2021
Title: Min Liu: Innovator in Aero-Engine Fault Diagnosis
Introduction
Min Liu is a prominent inventor based in Dalian, China. He has made significant contributions to the field of aero-engine technology, particularly in fault diagnosis and performance prediction. With a total of two patents to his name, Liu's work is recognized for its innovative approaches to complex engineering challenges.
Latest Patents
Liu's latest patents include a "Method for fault diagnosis of aero-engine sensor and actuator based on LFT." This invention focuses on diagnosing faults in aero-engine sensors and actuators using a combination of state space modeling and linear fractional transformation techniques. The method establishes a framework for fault estimation, enhancing the reliability of aero-engine systems.
Another notable patent is the "Method for prediction of key performance parameters of aero-engine in transition condition." This method utilizes bench test data to create training and testing datasets for predicting critical performance parameters, such as engine exhaust temperature and low pressure rotor speed. The approach emphasizes practical engineering applications through rolling learning techniques.
Career Highlights
Min Liu is affiliated with Dalian University of Technology, where he engages in research and development in the field of aero-engine technology. His academic background and research initiatives have positioned him as a key figure in advancing the understanding and capabilities of aero-engine systems.
Collaborations
Liu has collaborated with notable colleagues, including Ximing Sun and Shuo Zhang. Their joint efforts contribute to the innovative research and development projects at Dalian University of Technology.
Conclusion
Min Liu's contributions to aero-engine technology through his patents and research highlight his role as an influential inventor in the field. His innovative methods for fault diagnosis and performance prediction are paving the way for advancements in aero-engine reliability and efficiency.