Current Professional Societies

1. Standing Director of the Rotor dynamics Committee of Chinese society of Vibration Engineering;

2. Member of Equipment and Maintenance Engineering Branch of Chinese society of Mechanical Engineering;

3. Member of Fault diagnosis Committee of Chinese society of Vibration Engineering.

Research Areas

1. Condition monitoring and fault diagnosis of electromechanical equipment;

2. Modern signal analysis and processing;

3. Dynamic characteristic analysis of mechanical equipment.

Honors

Outstanding communist party member of Beijing University of Technology, 2017;

Publications

1. Xu Yonggang, Deng Yunjie, Ma Chaoyong, et al.The Enfigram: A Robust Method for Extracting Repetitive Transients in Rolling Bearing Fault Diagnosis[J]. Mechanical Systems and Signal Processing, 2021.

2. Xu Yonggang, Zhang Kun, Ma Chaoyong, et al. Adaptive Kurtogram and its Applications in Rolling Bearing Fault Diagnosis[J]. Mechanical Systems and Signal Processing, 2019.

3. Zhang Kun, Xu Yonggang, Liao Zhiqiang, et al. A novel Fast Entrogram and Its Applications in Rolling Bearing Fault Diagnosis[J]. Mechanical Systems and Signal Processing, 2021.

4. Xu Yonggang, Deng Yunjie, Zhao Jiyuan, et al. A Novel Rolling Bearing Fault Diagnosis Method based on Empirical Wavelet Transform and Spectrum Trend[J]. IEEE Transactions on Instrumentation and Measurement, 2020.

5. Zhang Kun, Xu Yonggang, Chen Peng. Feature extraction by enhanced analytical mode decomposition based on order statistics filter[J]. Measurement, 2020.

Personal statement

Xu Yonggang, professor and doctoral supervisor, born in October 1975, works in the Department of materials and manufacturing, Beijing University of technology. Professor Xu has been focusing on the research of condition monitoring and fault diagnosis technology of electromechanical equipment, as well as modern signal processing for many years. He has undertaken four National Natural Science Foundation projects, published more than 80 scientific papers, including more than 40 EI searches and more than 20 SCI searches. He has developed an on-line condition monitoring and fault diagnosis system for electromechanical equipment, which has been applied in port, coal mine, metallurgy and other industries.