Curriculum Vitae
Name: Zhao Xinguang 
Gender: Female
Academic Title: Lecturer
Education Experience
2010/09 - 2013/06 Graduated from Shenyang University of Technology, got the doctoral degree, major in mechanical design and theory.
2007/08 - 2010/03 Graduated from Shenyang University of Technology, got the master degree, major in mechanical and electronic engineering.
2003/09 - 2007/07 Graduated from Shenyang University of Technology, got the bachelor degree, major in mechanical engineering and automation.
Work Experience
2013/09- Present Liaoning institute science and technology, lecturer
Research Interests
1. The application of fractal and physical model in the process of crack evolution of composite materials.
2. Fault diagnosis and life prediction of wind turbine blades.
Publications
Journal Papers:
[1] Zhao Xinguang, Gan Xiaoye, Zhou Bo, Gu Quan, Chen Changzheng. Crack fault feature of wind turbine blade based on wavelet energy spectrum coefficient, Journal of Vibration, Measurement & Diagnosis, 2014, 34(1)
[2] Chen Changzheng, Zhao Xinguang, Zhou Bo, Gu Quan. Studying on Extracting Crack Fault Feature of Wind Turbine Blade, Proceedings of the CSEE, 2012, 33(2)
Books:
Co-authored a academic monograph “Fatigue Damage Identification and Health Monitoring of Large Wind Turbine Blade” in Science Press, ISBN 978-7-03-047637-1 (2016.03)
Research Projects
Sep. 2016- Present: Study on Damage Prediction of Wind Turbine Blade Based on Wind Wheel Noise Detection and Mechanism Analysis , Provincial Project.
Responsibility: Project Director. By using acoustic array technology, the dynamic characteristics of wind turbine noise are analyzed to identify the damage state of blades.
Sep. 2015- Dec. 2017: Study on Wind Turbine Noise and Blade Failure Mechanism of Wind Turbine, Liaoning Education Department Scientific Research Project.
Responsibility: Project Director. The correlation coefficient between test noise and blade damage was used as a monitoring parameter. The wavelet decomposition method was used to expand the technique to adaptively extract and identify the signal features of different damage states of the blade at multiple scales, and to timely and accurately locate the damage location of the blade.
Sep. 2011- Mar. 2014: Study on Fatigue Damage Identification of Wind Turbine Blade Based on Dynamic Survival Analysis of Crack, National Youth Science Foundation Project.
Responsibility: Project participant. Acoustic Emission Test; Acquisition of blade model crack signals; analysis of experimental data using wavelet analysis.
Jan. 2011- Dec. 2013: Study on Mechanism of Environmental Force Behavior and State Degradation of Key Components for Large Wind Turbine, National Natural Science Foundation Project.
Responsibility: Project participant. Wind turbine field test; Analysis of test data.
Patents
1. Crack detection method for wind turbine blades, 2012.5.10, China, CN201210144547.X (4/4)
2. Torque overload protector 2016.4.6, China, CN201610065703. 1 (1/3)
Awards
1. China Machinery Industry Association/ Institute Of Mechanical Engineering Science and Technology Progress Award, China, 2016.( Key technology and application of vibration reduction and noise reduction, 5/5)
2. Benxi municipal government Science and Technology Progress Award, 2016.(On-line condition monitoring and fault diagnosis technology of rolling equipment, 9/9)
