Undergraduate Courses：《 Electromechanical Transmission Control 》

Educational Experience

1996.09-2000.07   Institute of Automobile Engineering Jilin University，Automobile Engineering, Bachelor's   degree

2000.09-2002.07  Department of Mechanical Engineering The Graduate School               Pukyong National University, Master's degree  

2002.09-2005.07   Department of Mechanical Engineering The Graduate School               Pukyong National University, , Ph.D.

Work Experience:

2006.05-2011.06  Assistant Professor, University of Science and Technology Beijing, School of Mechanical Engineering

2011.07-Current   Associate Professor, University of Science and Technology Beijing, School of Mechanical Engineering 

2014.10-2015.10  Visiting Scholar, Queensland University of Technology，Science and Engineering Faculty

Journal papers：

1) Li Zhang, Han Tian*, Zhongjun Yin, Kaichun Zhao. Lane detection in dense fog using a polarimetric dehazing method. Applied Optics, 2020, 59.

2)Han Tian*, Yulin Zhang, Cunxiao Miao, Jianfeng Liu, Shuai Xue. VCSEL Laser anti-interference temperature control，,Infrared and Laser Engineering,2020,（6）.

3)Tian Han*，Qiannan Liu，LiZhang, Andy C.C. Tan. Fault feature extraction of low speed roller bearing based on Teager energy operator and CEEMD[J]. Measurement, 2019, 138.

4)Wang, Ruiming，Han, Tian*，Wang, Wenrui, et al. Fracture analysis and improvement of the main shaft of wind turbine based on finite element method[J]. Advances in Mechanical Engineering, 2018, 10(4):168781401876900.

5)Tian Han*, Xueliang Liu, Andy C.C. Tan. Fault diagnosis of rolling element bearings based on Multiscale Dynamic Time Warping, Measurement, 2017(95):355-366.

6)Shuang Pan, Tian Han*, Andy C. C. Tan and Tian Ran Lin. Fault Diagnosis System of Induction Motors Based on Multiscale Entropy and Support Vector Machine with Mutual Information Algorithm, Shock and Vibration. 2016:1-12.

7)Yin, Zhongjun，Zhang, Hang，Han, Tian*. Simulation of particle flow on an elliptical vibrating screen using the discrete element method[J]. Powder Technology, 2016:S0032591016305538.

8)Shuang Pan，Tian Han*，Lin Shi, Study on the rotor dynamic characteristics of axial compressor,          ，2015(11):8-12.

9)Han, Tian*, Chenxi Huang, Andy C.C. Tan. Experimental and finite element analysis to identify the source of vibration of a coach. Engineering Failure Analysis. 2014(44): 100–109.

10)    Zhanqi Zhang, Zhongjun Yin, Tian Han*, Andy C.C. Tan. Fracture analysis of Wind Turbine main shaft. Engineering Failure Analysis. 2013(34): 129–139. Tian Han, Lin Shi, Aiguo Zhao. Gear fault analysis on wind turbine generator based on Adams，Computer Aided Engineering，2013.22(1).256-260.

11)Tian Han, Lin Shi, Qinghai Zhang.Research on the effect of bearing parameter change on the natural characteristic of large centrifugal compressor based on Finite Element，Journal of Mechanical Transmission，2013.37(11).14-17.

12)Tian Han, Zhongjun Yin, Shaowei Yang, Discussion of diagnostic method for broken rotor bar of induction motor, Proceedings of the Chinese Society of Universities for Electric Power System and Automation,2009, 93-98.（EI: 10848859）

13)Tian Han, Xin Sun, Zhongjun Yin, Motor condition recognition based on multi-agent decision fusion, Journal of Beijing University of Science and Technology, 2007,29(2): 182-186.

14)Tian Han, Bo-Suk Yang and Zhong-Jun Yin, Feature-based fault diagnosis system of induction motors using vibration signal, Journal of Quality in Maintenance, 2007,13(2):163-5175.(EI: 9557442)

15)Tian Han and Bo-Suk Yang, Development of an e-maintenance system integrating advanced techniques, Computers in Industry, 2006,57(6):569-580.(SCI)

16)Tian Han, Bo-Suk Yang, Won-Ho Choi, and Jae-Sik Kim, Fault diagnosis system of induction motors based on neural network and genetic algorithm using stator current signals, International Journal of Rotating Machine,2006,1-13.

Conference papers：

17)Tian Han, Ze Wang, Zhongjun Yin, Andy C.C. Tan, Fault Recognition of Induction Motor Based on Convolutional Neural Network Using Stator Current Signal, 18th Asia-Pacific Vibration Conference (APVC 2019).

18)Tian Han, Ze Wangle, Andy C.C. Tan, Bearing fault state recognition and identification of degree of fault based on Convolutional Neural Networks, Asia Pacific Conference of the Prognostics and Health Management Society 2019 (PHMAP2019).

19)Tian Han, Chengcheng Shi, Zhongjun Yin, Crack identification for Main Shaft of Wind Turbine Based on Time Series Model, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE 2016) & World Congress on Engineering Asset Management (WCEAM 2016), 2016(4).

20)Tian Han, Zhenbo Wei,Chen Li, Research on the Fault Diagnosis of PlanetaryGearbox,International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE 2016) & World Congress on Engineering Asset Management (WCEAM 2016),2016(6) .

21)Han Tian， Yin Zhong Jun，Wang Jian Feng and Byeong Keun Choi. The Study on Vibration Characteristics of Rub-impact Rotor Based on Virtual Prototype Technology and Experiments. The Korean Society for Noise and Vibration Engineering. 2012 (2):382-387.

22)Tian Han，Jie Bai and Zhongjun Yin, Dynamic simulation analysis of a cracked flexible rotor supported on rotor-rolling bearing based on virtual prototyping technology, Advanced Materials Research, 2011, 293-297. (EI: 20110113554102)

23)Tian Han, Ling Jin and Zhongjun Yin, Discussing the effect of different modeling Methods on bus frame, Advanced Materials Research, 2011, 577-583. (EI: 20110113554045)

24)Tian Han，Jie Bai and Zhiying Gao，The cracked rotor simulation based on virtual prototyping technology，International Conference on Mechanic Automation and Control Engineering, 2010，2589-2592．（EI:11462091）

25)Tian Han, Jie Bai and Zhongjun Yin, Dynamic balancing simulation based on virtual prototyping technology, ICRMS 2009, 1035-1039. （EI: 10894137）

26)Tian Han, Bo-Suk Yang, Jong Moon Lee, A New Condition Monitoring and Fault Diagnosis System of Induction Motors using Artificial Intelligent Algorithms, in Proceedings of IEEE International Electric Machines and Drives Conference，2005: 1967-1974.(EI: 9054150)

Book：

Tian Han，Intelligent Fault Diagnostics System of Induction motor，LAMBERT Academic Publishing，248页，2014

Patents：

1)Tian Han, Chenxi Huang, Zhongjun Yin,Shaft part crack distinguishing method based on time sequence model:CN104251815A

2)Tian Han, Cun Hu, Cunxiao Miao, Hang Zhao,Rotating modulation radial spherical permanent-magnet biased magnetic bearing:CN105156475A

3)Tian Han, Cunxiao Miao, Hang Zhao, Zhenbo Wei,A rotary modulation double-coil axial spherical purely electromagnetic magnetic bearing:CN106949145A

4)Tian Han, Ze Wang, Rolling bearing fault diagnosis method based CNN model and migration learning:  CN110220709A

5)Tian Han, Qiannan Liu, Zhongjun Yin, Cunxiao Miao ,Guide rope side thread feed type pay-off pulley c:CN109193459A

6)Tian Han, Ze Wang, Zhongjun Yin, Cunxiao Miao ,Paying-off tackle for unmanned aerial vehicle stringing system      CN109217180A

7)Tian Han, Qiannan Liu, Zhongjun Yin, Cunxiao Miao, Unmanned aerial vehicle stringing system and method:CN109473910A