机械状态监测与故障诊断、智能制造、智能结构及其应用

秦毅，男，1982年生，四川宜宾人，博士，贝斯特365和机械传动国家重点实验室教授，博士生导师。2000年至2004年在重庆大学机械工程及自动化专业学习，获学士学位，并推免到重庆大学机械电子工程系攻读硕士学位；2004年至2008在重庆大学机械电子工程专业硕博连读，获工学博士学位，其博士论文获重庆市优秀博士论文；2009年1月留校任教；2013年1月至2014年1月在密西根大学安娜堡校区作访问学者。主要从事机械状态监测与故障诊断、智能制造、智能结构及其应用等领域的研究。现作为项目负责人承担了国家自然科学基金面上研究项目、陆航预研项目、机械传动国家重点实验室特色研究项目、重庆市基础科学与前沿技术研究项目、中央高校基本科研业务费重点项目等多项国家和省部级项目。在《IEEE Transactions on Industrial Electronics》、《Mechanical Systems and Signal Processing》、《Journal of Sound and Vibration》、《Signal Processing》、《Renewable Energy》、《Measurement Science and technology》、《Measurement》等国内外著名杂志和会议上发表论文50余篇，其中，SCI检索20余篇（被引用380余次，其中他引290余次），EI检索26篇，ISTP检索5篇；参编高等教育出版社出版教材1部，获授权国家发明专利6项，实用新型1项；获教育部科技进步一等奖2项。担任了《IEEE Transactions on Industrial Electronics》、《Mechanical Systems and Signal Processing》、《Journal of Sound and Vibration》、《Signal Processing》、《IEEE Access》、《Journal of Micromechanics and Microengineering》、《Journal of Vibration and Control》、《Measurement Science and Technology》、《Applied Mathematical Modelling》、《Measurement》、《Circuits, Systems, and Signal Processing》、《Optics and Laser Technology》、《Fluctuation and Noise Letters》、《Advances in Mechanical Engineering》、《Shock and Vibration》、《Discrete Dynamics in Nature and Society》、《Engineering Science and Technology, an International Journal》、《振动与冲击》、《中国机械工程》等20余种国内外期刊的常任审稿人以及中国振动工程学会故障诊断专业委员会理事、中国振动工程学会转子动力学专业委员会理事、中国力学学会会员、全国高校机械工程测试技术研究会理事和西南分会秘书长。

主要在研科研项目：

面向动轴齿轮传动故障诊断的振动模型驱动稀疏表征理论研究  国家自然科学基金面上项目

齿轮传动基础数据与可靠性分析  机械传动国家重点实验室特色研究项目

基于耦合压电阻抗的转子复合损伤定量诊断方法研究  重庆市基础科学与前沿技术研究项目

陆航十三五预研项目

代表性论文：

1. Yi Qin. A new family of model-based impulsive wavelets and their sparse representation for rolling bearing fault diagnosis. IEEE Transactions on Industrial Electronics, 2018, 65(3): 2716-2726.

2. Yi Qin, Shuren Qin, Yongfang Mao. Research on iterated Hilbert transform and its application in mechanical fault diagnosis. Mechanical Systems and Signal Processing, 2008, 22(8): 1967-1980.

3. Yi Qin, Baoping Tang, Jiaxu Wang. Higher density dyadic wavelet transform and its application. Mechanical Systems and Signal Processing, 2010, 24(3): 823-834.

4. Yi Qin, Jiaxu Wang, Baoping Tang, Yongfang Mao. Higher density wavelet frames with symmetric low-pass and band-pass filters. Signal Processing, 2010, 90(12): 3219-3231.

5. Yi Qin. Multicomponent AM–FM demodulation based on energy separation and adaptive filtering. Mechanical Systems and Signal Processing, 2013, 38(2): 440-459.

6. Yi Qin, Yongfang Mao, Baoping Tang. Vibration signal component separation by iteratively using basis pursuit and its application in mechanical fault detection. Journal of Sound and Vibration, 2013, 332(20): 5217-5235.

7. Yi Qin, Jiaxu Wang, Yongfang Mao. Dense framelets with two generators and their application in mechanical fault diagnosis. Mechanical Systems and Signal Processing, 2013, 40(2): 483-498.

8. Yi Qin, Yongfang Mao, Baoping Tang. Multicomponent decomposition by wavelet modulus maxima and synchronous detection. Mechanical Systems and Signal Processing, 2017, 91: 57-80.

9. Yi Qin, Yi Tao, Ye He, Baoping Tang. Adaptive bistable stochastic resonance and its application in mechanical fault feature extraction. Journal of Sound and Vibration, 2014, 333(26): 7386-7400.

10. Yi Qin, Yi Tao, Yongfang Mao, Baoping Tang. Quantitative rotor damage detection based on piezoelectric impedance . Measurement Science and Technology,  2015, 26: 125012.

11. Yi Qin, Baoping Tang, Yongfang Mao. Adaptive signal decomposition based on wavelet ridge and its application. Signal Processing, 2016, 120: 480-494.

12. Yi Qin, Baoping Tang, Jiaxu Wang, Ke Xiao. A new method for multicomponent signal decomposition based on self-adaptive filtering. Measurement, 2011, 44(7): 1312-1327.

13. Yi Qin, Jianfeng Xing, and Yongfang Mao. Weak transient fault feature extraction based on an optimized Morlet wavelet and kurtosis. Measurement Science and Technology,  2016, 27: 085003.

14. Yi Qin, Qingliang Zhang, Yongfang Mao, Baoping Tang. Vibration component separation by iteratively using stochastic resonance with different frequency-scale ratios. Measurement,  2016, 94: 538-553.

15. Yi Qin, Shuren Qin, Yongfang Mao. Fast implementation of orthogonal empirical mode decomposition and its application into harmonic detection. Chinese Journal of Mechanical Engineering, 2008, 21(2): 93-98.

16. Xin Wang, Yi Qin*, and Aibing Zhang. An intelligent fault diagnosis approach for planetary gearboxes based on deep belief networks and uniformed features. Journal of Intelligent & Fuzzy Systems, 2018, 3.

17. Yonghua Jiang, Baoping Tang, Yi Qin, Wenyi Liu. Feature extraction method of wind turbine based on adaptive Monet wavelet and SVD. Renewable Energy, 2011, 36(8): 2146-2153.

18. Zuqiang Su, Baoping Tang, Ziran Liu, Yi Qin. Multi-fault diagnosis for rotating machinery based on orthogonal supervised linear local tangent space alignment and least square support vector machine. Neurocomputing, 2015, 157: 208-222

19. Yongfang Mao, Shuren Qin, Yi Qin. Demodulation based on harmonic wavelet and its application into rotary machinery fault diagnosis. Chinese Journal of Mechanical Engineering, 2009, 22(3): 419-425.

20. Baoping Tang, Feng Li, Yi Qin. Fault diagnosis model based on feature compression with orthogonal locality preserving projection. Chinese Journal of Mechanical Engineering, 2011, 24(5): 891-898.

主要专利：

一种迭代Teager能量算子解调方法与系统 秦毅, 毛永芳, 任兵,  周广武 发明2011.12.21  201110430480.1

高性能机械基础件精密成形智能制造系统 王家序, 秦毅, 韩彦峰, 崔洪斌 发明2011.12.16  201110420431.x

滚动轴承摩擦力矩试验台 王家序，秦毅，赵慧，蒲伟, 李俊阳  发明 2012.04.16 201210108207.1

水润滑轴承及传动系统综合性能实验平台 王家序, 周广武, 秦毅, 王战江, 韩彦峰, 李敏, 李俊阳, 肖科 发明 2011.05.10  2011101197668