Company Filing History:
Years Active: 2023
Title: Linhui Liu - Innovator in Fault Diagnosis Technology
Introduction
Linhui Liu is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of fault diagnosis through his innovative methods and systems. His work focuses on enhancing the accuracy and efficiency of diagnosing faults in machinery, particularly through the analysis of bearing noise.
Latest Patents
Linhui Liu holds a patent for a "Method and system for performing fault diagnosis by bearing noise detection." This patent outlines a comprehensive approach to diagnosing faults by collecting noise from bearings, which includes both bearing noise and operating condition noise. The method involves pre-processing the collected noise to generate a first time domain signal and a second frequency domain signal. These signals are then input into a bearing fault diagnosis model that consists of a characteristic extraction model and a fault discrimination model. The characteristic extraction model processes the signals to obtain key characteristics, while the fault discrimination model combines these characteristics to perform accurate fault discrimination. He has 1 patent in this area.
Career Highlights
Linhui Liu is currently employed at Aktiebolaget SKF, a leading company in the field of bearing technology and solutions. His role involves applying his expertise in fault diagnosis to improve the reliability and performance of bearing systems. His innovative approach has positioned him as a valuable asset to his team and the company.
Collaborations
Linhui Liu collaborates with his coworker, Gang Cheng, to further enhance their research and development efforts in fault diagnosis technology. Their combined expertise contributes to the advancement of innovative solutions in the industry.
Conclusion
Linhui Liu's contributions to fault diagnosis technology through his patent and work at Aktiebolaget SKF highlight his role as an influential inventor in the field. His innovative methods are paving the way for more reliable machinery and improved diagnostic techniques.