EnShuo Tsau

Title: EnShuo Tsau: Innovator in Gas Turbine Fault Detection

Introduction

EnShuo Tsau is a notable inventor based in Rowland Heights, California. He has made significant contributions to the field of gas turbine technology, particularly in fault detection and diagnosis methods. His innovative approach utilizes advanced algorithms to enhance the reliability of turbine engines.

Latest Patents

EnShuo Tsau holds a patent for a method titled "MFCC and CELP to detect turbine engine faults." This patent describes a fault detection and diagnosis method for gas turbine engines. The process involves collecting sensor signals from acoustic or vibrational sensors, pre-processing these signals to eliminate predictable background noise, and extracting feature sets using Mel-Frequency Cepstral Coefficients (MFCC) and Code Excited Linear Prediction (CELP) algorithms. The method effectively distinguishes between fault and non-fault states by comparing the extracted feature set with a library of profiles corresponding to various operational states of the gas turbine engine. He has 1 patent to his name.

Career Highlights

Throughout his career, EnShuo Tsau has worked with prominent organizations, including United Technologies Corporation and the University of Southern California. His experience in these institutions has allowed him to develop and refine his innovative techniques in turbine engine diagnostics.

Collaborations

EnShuo has collaborated with notable professionals in his field, including Andrew F. Geib and Chung Chieh Kuo. These collaborations have contributed to the advancement of technology in gas turbine fault detection.

Conclusion

EnShuo Tsau's work in gas turbine fault detection exemplifies the impact of innovation in engineering. His patented methods enhance the safety and efficiency of turbine engines, showcasing his valuable contributions to the industry.