1998.9-2003.7, Xi'an Jiaotong University School of Mechanical Engineering PH.D, Doctor

1994.9-1998.7, Xi'an Jiaotong University School of Mechanical Engineering, Bachelor

2015.12~present: Professor, School of Mechanical Engineering, Shanghai Jiao Tong University

2009.12~2015.12: Associate Professor, School of Mechanical Engineering, Shanghai Jiao Tong University

2007.11-2009.12: JSPS Research Fellow, Department of Systems Innovation, The University of Tokyo, Japan

2005.08-2007.08: Research Fellow, School of Aeorspace, Mechanical & Mechatronic Engineering, The University of Sydney, Australia.

2003.09-2005.08: Assistant Professor, School of Mechanical Engineering, Shanghai Jiao Tong University

Structrual Health Monitoring

Smart Materials and Structures

Fault Diagnosis for Mechanical Equipments and Systems

Sensing Techonology and Digital Signal Processing

[1] 2008.01-2010.12, Multiple damage detection for composite structures using elastic waves, supported by NSFC (the National Natural Science Foundation of China), China
[2] 2007.11-2009.11, Damage identification for typical composite structures using embedded sensor network of PZT and fiber optic sensors, supported by JSPS (Japan Society for the Promotion of Science), Japan
[3] 2010-2013, Structural health monitoring based on carbon nano-tube and guided waves, supported by NSFC (the National Natural Science Foundation of China), China
[4] 2014-2017, Micro damage detection based on guided waves, supported by NSFC (the National Natural Science Foundation of China), China

Year 2019:
1. Tu X, Hu Y, Li F*, Abbas S, Liu Z, Bao W. Demodulated High-Order Synchrosqueezing Transform With Application to Machine Fault Diagnosis [J]. IEEE Transactions on Industrial Electronics, 2019, 66(4): 3071-3081.
2. Hu Y, Tu X, Li F*. High-order synchrosqueezing wavelet transform and application to planetary gearbox fault diagnosis [J]. Mechanical Systems and Signal Processing, 2019, 131: 126-151.
3. Li K, Zhang R, Li F*, Su L*, Wang H, Chen P. A New Rotation Machinery Fault Diagnosis Method Based on Deep Structure and Sparse Least Squares Support Vector Machine [J]. IEEE Access, 2019.
4. Chen Z, Tu X, Hu Y, Li F*. Real-Time Bearing Remaining Useful Life Estimation Based on the Frozen Convolutional and Activated Memory Neural Network [J]. IEEE Access, 2019, 7: 96583-96593.
5. Li K, Xiong M, Li F*, Su L*, Wu J. A novel fault diagnosis algorithm for rotating machinery based on a sparsity and neighborhood preserving deep extreme learning machine [J]. Neurocomputing, 2019, 350: 261-270.
6. Tu X, Bao W, Hu Y, Li F*. Parameterized Synchrosqueezing Transform with Application to Machine Fault Diagnosis [J]. IEEE Sensors Journal, 2019, 19(18): 8107-8115.
7. Bao W, Tu X, Hu Y, Li F. Envelope Spectrum L-Kurtosis and Its Application for Fault Detection of Rolling Element Bearings [J]. IEEE Transactions on Instrumentation and Measurement, 2019.
8. Meng L, Li F*, Li H*. Dynamic model and analysis of a dielectric elastomer vibration isolator [J] Journal of Intelligent Material Systems and Structures, 2019, 30(16): 2396-2404.
9. Qiu, J, Li F*, Abbase, S, Zhu Y. A baseline-free damage detection approach based on distance compensation of guided waves [J]. Journal of Low Frequency Noise Vibration and Active Control, 2019, 38(3-4): 1132-1148.
10. Meng L, Li F*, Li H*. Electromechanical Hysteresis Model and Identification for Soft Dielectric Elastomer Actuator [C]// 21st Conference on Electroactive Polymer Actuators and Devices (EAPAD) XXI, 2019: 1096610.
11. Liu Z, Li F*, Jing B. Coupled Vibration Analysis of a Bevel Geared Rotor-Bearing System [C]// 32nd International Congress and Exhibition on Condition Monitoring and Diagnostic Engineering Management, 2019.
12. Zhu Y, Li F*. A baseline-free damage detection method for operation structure based on nonlinear ultrasonic guided waves [C]// 32nd International Congress and Exhibition on Condition Monitoring and Diagnostic Engineering Management, 2019.

Year 2018:
1. Zhao J, Li F*, Cao X, Li H. Wave propagation in aluminum honeycomb plate and debonding detection using scanning laser vibrometer [J]. Sensors, 2018, 18(6): 1669.
2. Hu Y, Tu X, Li F*, Meng G. Joint High-Order Synchrosqueezing Transform and Multi-Taper Empirical Wavelet Transform for Fault Diagnosis of Wind Turbine Planetary Gearbox under Nonstationary Conditions [J]. Sensors, 2018, 18(1): 150.
3. Qiu J, Li F*, Zhu Y. An improved instantaneous baseline method for pipe structures based on distance compensation using guided waves [J]. Measurement Science and Technology, 2018, 29(10): 105-106.
4. Li M, Meng G*, Li H, Qiu J, Li F. Online structural health monitoring of rotating machinery via ultrasonic guided waves [J]. Shock and Vibration, 2018.
5. Zhao J*, Miao X, Li F, Li H. Probabilistic Diagnostic Algorithm-Based Damage Detection for Plates with Non-uniform Sections Using the Improved Weight Function [J]. Journal of Vibration Engineering & Technologies, 2018, 6(3): 249-260.
6. Abbas S*, Li F, Qiu J. A review on SHM techniques and current challenges for characteristic investigation of damage in composite material components of aviation industry [J]. Materials Performance and Characterization, 2018, 7(1):224-258.
7. Hu Y, Tu X, Li F*. A Time-Frequency Analysis Approach Based on Plane Partition for Fault Diagnosis of the Planetary Gearbox Under Nonstationary Conditions [C]//ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018: V008T10A040-V008T10A040.
8. Tu X, Hu Y, Li F*. Current-Aided Time-Frequency Analysis of Vibration Signals for Gearbox Fault Diagnosis [C]//ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018: V008T10A039-V008T10A039.
9. Zhu Y, Li F*. Fatigue Crack Detection Under the Vibration Condition Based on Ultrasonic Guided Wave [C]// The 7th Asia-Pacific Workshop on Structural Health Monitoring, 2018.

[1] Dong Wang, Lin Ye, Ye Lu and Fucai Li. A damage diagnostic imaging algorithm based on the quantitative comparison of Lamb wave signals. Smart Materials and Structures, 2010. (in press)
[2] Fucai Li, Hideaki Murayama, Kazuro Kageyama, Guang Meng, Isamu Ohsawa and Takehiro Shirai. Debonding detection using self-calibration sensor network. Smart Materials and Structures, 2010, 19(6): 065007.
[3] Kai Sun, Guang Meng, Fucai Li, Lin Ye and Ye Lu. Damage identification in thick steel beam based on guided ultrasonic waves, Journal of Intelligent Material Systems and Structures. 2010, 21(3): 225-232.
[4] Dong Wang, Lin Ye, Zhongqing Su, Ye Lu, Fucai Li and Guang Meng. Probabilistic damage identification based on correlation analysis using guided wave signals in aluminum plates, Structural Health Monitoring. 2010, 9(2), 133-144.
[5] Fucai Li, Hideaki Murayama, Kazuro Kageyama and Isamu Ohsawa. Multiple damage assessment in composite laminates using a Doppler-effect-based fiber-optic sensor, Measurement Science and Technology. 2009, 20, 115109.
[6] Fucai Li, Guang Meng, Lin Ye, Ye Lu and Kazuro Kageyama. Dispersion analysis of Lamb waves and damage detection for aluminum structures using ridge in the time-scale domain, Measurement Science and Technology, 2009, 20, 095704.
[7] Fucai Li, Hideaki Murayama, Kazuro Kageyama and Takeshiro Shirai. Guided wave and damage detection in composite laminates using different fiber optic sensors, Sensors, 2009, 9, 4005-4021.
[8] Fucai Li, Hideaki Murayama, Kazuro Kageyama and Takeshiro Shirai. Doppler effect-based fiber-optic sensor and its application in ultrasonic detection. Optical Fiber Technology, 2009, 15, 296-303.
[9] Fucai Li, Guang Meng, Kazuro Kageyama, Zhongqing Su and Lin Ye. Optimal mother wavelet selection of Lamb wave analyses. Journal of Intelligent Material Systems and Structures, 2009, 20, 1147-1161.
[10] Haikuo Peng, Guang Meng and Fucai Li. Modeling of wave propagation in plate structures using three-dimensional spectral element method for damage detection. Journal of Sound and Vibration. 2009, 320, 942-954.
[11] Fucai Li, Kazuro Kageyama, Hideaki Murayama, Kiyoshi Uzawa and Isama Ohsawa. Multiple damage identification in CFRP laminates with delaminations using fiber optic sensors, Proceedings of the 7th International workshop on Structural Health Monitoring, Stanford University, CA USA, Sep. 9-11, 2009.
[12] Fucai Li, Kazuro Kageyama, Hideaki Murayama and Isamu Ohsawa. Delamination detection in CFRP laminates using FOD sensor, Proc. SPIE, 2009, vol. 7493.
[13] Kai Sun, Guang Meng, Fucai Li, Lin Ye and Ye Lu. Fatigue crack identification in thick steel beam using guided waves, Proceedings of the 7th International workshop on Structural Health Monitoring, Stanford University, CA USA, Sep. 9-11, 2009.
[14] Fucai Li and Guang Meng. Dispersion analysis of Lamb waves with narrow frequency bands. ACTA Physica Sinica. 2008, 57, 4265-4272.
[15] Fucai Li, Guang Meng, Lin Ye and Peng Chen. Wavelet transform-based higher-order statistics for fault diagnosis in rolling element bearings. Journal of Vibration and Control. 2008, 14, 1691-1709.
[16] Fucai Li, Kazuro Kageyama, Hideaki Murayama, Guang Meng and Lin Ye. Entropy-based optimal mother wavelet selection for digital damage fingerprints (DDF). Proceeding of the Fifth International Symposium on Neural Networks. September 24-28, 2008, Beijing, China.
[17] Fucai Li, Hideaki Murayama, Kazuro Kageyama. Structural health monitoring for composite laminates using optimal mother wavelet-based method. Proceeding of the 8th China-Japan Joint Conference on Composites. October 27-29, 2008, Sapporo, Japan.
[18] Xi Lu, Fucai Li, Guang Meng, Lin Ye and Ye Lu. Lamb wave based damage identification in structures with complex geometry. Proceedings of ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems. October 28-30, 2008, Ellicott City, Maryland, USA.
[19] Kai Sun, Guang Meng, Fucai Li, Lin Ye and Ye Lu. Damage detection in thick steel beam using Lamb waves. Proceedings of ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems. October 28-30, 2008, Ellicott City, Maryland, USA.
[20] Dong Wang, Lin Ye, Ye Lu and Fucai Li. Diagnosis of damage presence using tomographically constructed probability distribution based on Lamb wave signals. Proceedings of the Fourth European Workshop on Structural Health Monitoring. July 2-4, 2008, Krakow, Poland
[21] Fucai Li and Guang Meng. Optimal mother wavelet-based Lamb wave analyses and damage detection for composite structures (in English). Chinese Journal of Scientific Instrument. 2007, 28, 1729-1735.
[22] Fucai Li, Lin Ye, Guicai Zhang and Guang Meng. Bearing fault detection using higher-order statistics based ARMA model. Key Engineering Materials. 2007, 347, 271-276.
[23] Fucai Li, Lin Ye, Guicai Zhang and Guang Meng. Wavelet packet transform based frequency domain kurtosis for fault diagnosis in rolling element bearings. Key Engineering Materials. 2007, 347, 705-710.
[24] Fucai Li, Zhongqing Su, Lin Ye and Guang Meng. A correlation filtering-based matching pursuit (CF-MP) for damage identification using Lamb waves. Smart Materials and Structures. 2006, 15, 1585-1594.
[25] Xing Wu, Jin Chen, Ruqiang Li and Fucai Li. Web-based remote monitoring and fault diagnosis system. International Journal of Advanced manufacturing Technology. 2006, 28, 162-175.
[26] Fucai Li, Jin Chen, Guicai Zhang, Wavelet transform domain filter and its application in incipient fault prognosis. Key Engineering Materials. 2005, 293-294, 127-134.
[27] Guicai Zhang, Jin Chen and Fucai Li. Extracting gear fault features using maximal bispectrum. Key Engineering Materials. 2005, 293-294: 167-174.

Mechanical Vibration, Undergraduate, 48h

Digital Signal Processing, Postgraduate, 48h

24 authorized patents.

Editorial board member, Journal of Vibration Engineering and Technologies
Visiting researcher, Giso-ken, Department of Systems Innovation, The University of Tokyo, Japan