兴发187老虎机_兴发娱乐187手机版

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兴发187老虎机
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Institutions

车辆工程系

姓 名:冯志鹏

职 称:教授

学 位:博士

所在系所:车辆工程系

行政职务:

办公地点:土木环境楼1012

办公电话:010-62332865

电子邮箱:fengzp@ustb.edu.cn

科研方向:机械装备状态监控与故障诊断、信号处理、机电系统动力学、车辆振动噪声分析与控制、人工智能

本科生课程:测试技术、汽车新技术、汽车检测与诊断

研究生课程:车辆振动噪声控制


社会/学术兼职:

中国振动工程学会故障诊断专业委员会常务理事

中国计量经济学会装备质量分会副理事长

《振动工程学报》编委

《电子科技大学学报》(自然科学版)编委

 

教育经历:

1993.09-1997.07 吉林工业大学(现吉林大学),汽车工程专业,获学士学位

1997.09-2000.03 昆明理工大学,机械设计及理论专业,获硕士学位

2000.03-2003.07 大连理工大学,动力机械及工程专业,获博士学位


工作经历:

2003.08-2005.08 清华大学,精密仪器与机械学系,博士后

2005.08-2008.07 兴发187老虎机,车辆工程研究所,讲师

2006.05-2007.05 加拿大Alberta大学,机械工程系,博士后

2008.08-2012.07 兴发187老虎机,车辆工程研究所,副教授

2010.12-2011.08 加拿大Ottawa大学,机械工程系,访问学者

2012.08-2013.07 兴发187老虎机,兴发娱乐187手机版,教授

2015.11-2016.11 加拿大Alberta大学,机械工程系,访问学者

2013.08-至今   兴发187老虎机,兴发娱乐187手机版,教授,博士生导师

 

代表性论著:

[1] Zhipeng Feng, Xiaowang Chen, Ming J. Zuo, Induction motor stator current AM-FM model and demodulation analysis for planetary gearbox fault diagnosis, IEEE Transactions on Industrial Informatics, 2019, 15(4): 2386-2394

[2] Zhipeng Feng, Xiaowang Chen, Tianyang Wang, Time-varying demodulation analysis for rolling bearing fault diagnosis under variable speed conditions, Journal of Sound and Vibration, 2017, 400: 71-85

[3] Zhipeng Feng, Haoqun Ma, Ming J. Zuo, Vibration signal models for fault diagnosis of planet bearings, Journal of Sound and Vibration, 2016, 370: 372-393

[4] Zhipeng Feng, Ming Liang, Complex signal analysis for wind turbine planetary gearbox fault diagnosis via iterative atomic decomposition thresholding, Journal of Sound and Vibration, 2014, 333: 5196-5211

[5] Zhipeng Feng, Ming J. Zuo, Vibration signal models for fault diagnosis of planetary gearboxes, Journal of Sound and Vibration, 2012, 331: 4919-4939 (ESI Highly Cited Paper)

[6] Zhipeng Feng, Fulei Chu, Ming J. Zuo, Time-frequency analysis of time-varying modulated signals based on improved energy separation by iterative generalized demodulation, Journal of Sound and Vibration, 2011, 330: 1225-1243

[7] Zhipeng Feng, Fulei Chu, Application of atomic decomposition to gear damage detection, Journal of Sound and Vibration, 2007, 302: 138-151

[8] Zhipeng Feng, Xinnan Yu, Dong Zhang, Ming Liang, Generalized adaptive mode decomposition for nonstationary signal analysis of rotating machinery: Principle and applications, Mechanical Systems and Signal Processing, 2020, 136: 106530

[9] Zhipeng Feng, Xiaowang Chen, Adaptive iterative generalized demodulation for nonstationary complex signal analysis: Principle and application in rotating machinery fault diagnosis, Mechanical Systems and Signal Processing, 2018, 110: 1-27

[10] Zhipeng Feng, Xiaowang Chen, Ming Liang, Joint envelope and frequency order spectrum analysis based on iterative generalized demodulation for planetary gearbox fault diagnosis under nonstationary conditions, Mechanical Systems and Signal Processing, 2016, 76-77: 242-264

[11] Zhipeng Feng, Xiaowang Chen, Ming Liang, Fei Ma, Time-frequency demodulation analysis based on iterative generalized demodulation for fault diagnosis of planetary gearbox under nonstationary conditions, Mechanical Systems and Signal Processing, 2015, 62-63: 54-74

[12] Zhipeng Feng, Xiaowang Chen, Ming Liang, Iterative generalized synchrosqueezing transform for fault diagnosis of wind turbine planetary gearbox under nonstationary conditions, Mechanical Systems and Signal Processing, 2015, 52-53: 360-375 (ESI Highly Cited Paper)

[13] Zhipeng Feng, Ming Liang, Fulei Chu, Recent advances in time-frequency analysis methods for machinery fault diagnosis: A review with application examples, Mechanical Systems and Signal Processing, 2013, 38: 165-205 (ESI Highly Cited Paper)

[14] Zhipeng Feng, Ming Liang, Yi Zhang, Shumin Hou, Fault diagnosis for wind turbine planetary gearboxes via demodulation analysis based on ensemble empirical mode decomposition and energy separation, Renewable Energy, 2012, 47: 112-126 (ESI Highly Cited Paper)

[15] Zhipeng Feng, Yakai Zhou, Ming J. Zuo, Fulei Chu, Xiaowang Chen, Atomic decomposition and sparse representation for complex signal analysis in machinery fault diagnosis: A review with examples, Measurement, 2017, 103: 106-132

[16] Zhipeng Feng, Ming J. Zuo, Rujiang Hao, Fulei Chu, Mohamed El Badaoui, Gear damage assessment based on cyclic spectral analysis, IEEE Transactions on Reliability, 2011, 60(1): 21-32

[17] Chuan Zhao, Zhipeng Feng*, Xiukun Wei, Yong Qin, Sparse classification based on dictionary learning for planet bearing fault identification, Expert Systems with Applications, 2018, 108: 233-245

[18] 褚福磊, 彭志科, 冯志鹏, 李志农, 机械故障诊断中的现代信号处理方法, (当代杰出青年科学文库,中国科学院科学出版基金资助), 北京: 科学出版社, 2009

[19] 冯志鹏, 褚福磊, 左明健, 行星齿轮箱振动故障诊断方法, 北京: 科学出版社, 2015

[20] 冯志鹏, 褚福磊, 左明健, 机械系统复杂非平稳信号分析方法原理及故障诊断应用, 北京: 科学出版社, 2018

 

成果与荣誉:

主持国家重点研发计划项目1项(2018YFC0810500)、国家自然科学基金项目5项(50705007, 51075028, 11272047, 51475038, 51875034)。

[1] 2012年入选教育部新世纪优秀人才支持计划;

[2] 2014年度Renewable Energy期刊(SCI影响因子5.439)最佳论文奖;

[3] 2018年度中国机械工业科技进步二等奖。