Peng Zhou
助理教授（长聘体系）
Supervisor of Master's Candidates
Administrative Position: Assistant Professor
Education Level: Doctor′s Degree graduated
Degree: Doctor of Engineering
Professional Title: 助理教授（长聘体系）
Alma Mater: Shanghai Jiao Tong University
Discipline:
Mechanical Design and Theory
Achievements of The Thesis
- [1]Peng Zhou,Zhike Peng,Zhigang Tian,Ming J. Zuo.Study on a special category of FM signals with applications to planetary gearbox fault diagnosis under non-stationary conditions[C].2020 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling (APARM),Virtual, Online. IEEE, 2020..
- [2]Peng Zhou,Zhike Peng,Shiqian Chen,Qingbo He.A novel method for periodical impulses detection and its applications in rubbing fault diagnosis[C].Advances in Asset Management and Condition Monitoring: COMADEM 2019,Huddersfield, UK. Springer International Publishing, 2020.
- [3]Mengyuan Zhang,Peng Zhou,Yang Lei,Zhike Peng.Fast imaging for the ImpGPR based on windowed valid aperture estimation[C].8th International Conference on Intelligent Computing and Signal Processing (ICSP),IEEE, 2023.
- [4]Xingkai Yang,Peng Zhou,Ming J. Zuo,Zhigang Tian,Zhike Peng.The effect of time-varying operating condition on the crack induced impulses and its application to gearbox tooth crack diagnosis[J].Mechanical Systems and Signal Processing,2023,188:11002.
- [5]Xingkai Yang,Peng Zhou,Ming J. Zuo,Zhigang Tian.Normalization of gearbox vibration signal for tooth crack diagnosis under variable speed conditions[J].Quality and Reliability Engineering International,2022,38:3072-3098.
- [6]Gaoyang Wu,Yuyong Xiong,Peng Zhou,Zhaoyu Liu,Guang Meng,Zhike Peng.Full-field displacement measurement of rough surfaces using microwave speckle tracking interferometry[J].IEEE Transactions on Microwave Theory and Techniques,2024,72:4148-4162.
- [7]Songxu Li,Yuyong Xiong,Peng Zhou,Zesheng Ren,Zhike Peng.mmPhone: Sound recovery using millimeter-wave radios with adaptive fusion enhanced vibration sensing[J].IEEE Transactions on Microwave Theory and Techniques,2022,70:4045-4055.
- [8]陈是扦,彭志科,周鹏.Review of signal decomposition theory and its applications in machine fault diagnosis[J].Journal of Mechanical Engineering,2020,56:91-107.