Research Areas

1. Advanced signal processing methods and mechanical fault feature extraction technology

2. Intelligent diagnostic methods and life prediction technology

3. Car parts performance testing technology

Honors

The Second Prize of Beijing Science and Technology Award, 2023

Publications

[1] Kun Zhang, Yonggang Xu*, Zhiqiang Liao, Liuyang Song, Peng Chen, A novel Fast Entrogram and its applications in rolling bearing fault diagnosis, Mechanical Systems and Signal Processing, 2021, 154:107582.

[2] Kun Zhang, Peng Chen, Miaorui Yang, Liuyang Song, Yonggang Xu*, The Harmogram: A periodic impulses detection method and its application in bearing fault diagnosis, Mechanical Systems and Signal Processing, 2022,165: 108374.

[3] Kun Zhang, Chaoyong Ma*, Yonggang Xu, Peng Chen, Jianxi Du, Feature extraction method based on adaptive and concise empirical wavelet transform and its applications in bearing fault diagnosis, Measurement, 2021, 172: 108976.

[4] Kun Zhang, Ling Shi, Yue Hu, Peng Chen,and Yonggang Xu*, Variable spectral segmentation empirical wavelet transform for noisy signal processing, Digital Signal Processing, 2021, 117: 103151.

[5] Kun Zhang, Haihong Tang, Peng Chen, Yonggang Xu* Aijun Hu ,A method for extracting fault features using variable multi-level spectral segmentation framework and harmonic correlation index, IEEE Transactions on Instrumentation and Measurement, 2022, 71: 3505109

[6] Kun Zhang, Yonggang Xu*, Peng Chen, Feature extraction by enhanced analytical mode decomposition based on order statistics filter, Measurement, 2021, 173: 108620.

[7] Kun Zhang, Yunjie Deng, Peng Chen, Chaoyong Ma, Yonggang Xu*, Quaternion Empirical Wavelet Transform and Its Applications in Rolling Bearing Fault Diagnosis, Measurement, 2022, 195: 111179.

[8] Yonggang Xu, Kun Zhang*, Chaoyong Ma, Lingli Cui, Weikang Tian, Adaptive Kurtogram and its applications in rolling bearing fault diagnosis, Mechanical Systems and Signal Processing, 2019, 130: 87-107.

[9] Yonggang Xu, Yunjie Deng, Chaoyong Ma, Kun Zhang*, The Enfigram: A robust method for extracting repetitive transients in rolling bearing fault diagnosis, Mechanical Systems and Signal Processing, 2021, 158:107779.

Personal statement

Kun Zhang received the Ph.D. degree in the Graduate School of Environmental Science and Technology from Mie University and the M.S. degree in mechanical engineering from Beijing University of Technology. Since 2022, he has been a lecturer at Beijing University of Technology. His research interests include equipment intelligent operation and maintenance, modern signal processing and equipment fault diagnosis.