1998.9-2003.7 西安交通大学机械工程系 博士
1994.9-1998.7 西安交通大学机械工程学院机械工程与自动化系 学士

2015.12至今       太阳成集团tyc7111cc机械系统与振动全国重点实验室    教授、博士生导师

2009.12-2015.12   太阳成集团tyc7111cc机械系统与振动国家重点实验室    副教授、博士生导师

2007.11-2009.12   日本东京大学系统创成学专攻船装研究所                          JSPS特别研究员

2005.08-2007.08   澳大利亚悉尼大学宇航与机电工程学院                            副研究员

2003.09-2005.08   太阳成集团tyc7111cc振动、冲击、噪声国家重点实验室  讲师

结构健康监测
机械故障诊断
设备智能运维
数字孪生技术
传感技术与信号处理

[1] 2022-2025，国家自然科学基金项目“局部激励下非线性超声导波与微裂纹作用机理及损伤识别方法研究”，负责人
[2] 2020-2022，船舶动力基础科研计划项目“舰船传动系统典型裂纹故障机理与诊断技术研究”，课题负责人
[3] 2021-2025，国家电网系列科研项目群“规模化调相规衶嚮葛化建设关键技术研究及智能运维平台建设”，负责
[4] 2023-2024，上海卫星工程研究所项目“星上极微弱振动信号处理”，负责人
[5] 2017-2020，工信部04专项项目“航天复杂精密结构件制造装备国产数控系统换脑工程”，课题负责人
[6]  2015-2017，国家科技支撑计划项目“工程机械减振降噪技术研究与应用”，上海交大负责人
[7]  2015-2017，上海市基础研究重点项目“民用航空发动机转子系统振动故障诊断技术”，负责人
[8]  2014-2017，国家自然科学基金项目“基于超生导波的复杂结构微-小损伤识别技术研究”，负责人
[9]  2011-2013，国家自然科学基金项目“基于碳纳米管传感和导波的结构健康性监测研究”，负责人
[10]  2012-2014，科技部863计划项目“大型旋转机械安全服役关键技术研究”上海交大负责人
[11]  2010-2012，科技部863计划项目“承压设备健康监测技术研究与开发”，上海交大负责人
[12]  2010-2012，教育部留学回国人员基金“基于导向波的智能结构健康性监测研究”，负责人
[13]  2008-2010，国家自然科学基金项目“基于弹性波理论的复合材料结构多损伤智能识别研究，负责人
[14]  2007-2009，日本学术振兴会研究基金项目“应用嵌入式光纤和压电晶片传感器网络的典型复合材料结构损伤检测研究 ”，负责人
[15] 2009-2010，先进制造技术北京市重点实验室基金“Lamb波频散特性及智能结构健康性检测研究”，负责人
[16] 2010-2010，中国船舶重工集团公司第七○四研究所项目“机械设备振源识别技术研究”，负责人
[17] 2010-2011，上海交通大学SMC优秀青年教师人才基金“基于支持向量机的智能结构损伤识别技术研究”，负责人
[18] 2011-2013，国家自然科学基金-香港研究资助局联合基金“基于超声导波的大型管状结构腐蚀与疲劳损伤监测”，主要完成人
[19] 2009-2010，科技部863工程机械重点项目“工程机械远程维护及监控系统”子课题“远程监控及维护关键技术、部件及单元系统研究”，主要完成人
[20] 2008-2009，科技部973前期研究专项“复杂管系损伤检测与智能治愈”，主要完成人
[21] 2005-2008，科技部国际合作重点项目“基于数码损伤指纹概念的嵌入式智能结构健康性监测研究”，主要完成人
[22] 2006-2008，国家自然科学基金杰出青年基金B“固体力学”，主要完成人
[23] 2005-2007，教育部重大项目培育资金项目“沉管隧道结构损伤的力学机理与智能监测”，主要完成人
[24] 2005-2007，澳大利亚国家科学研究基金项目“基于传感器网络的先进复合材料机身在线结构完整性评估”，主要完成人

专著：
李富才，《机械设计手册——振动与噪声篇》孟光、吴天行主编，第10章“机械振动信号处理与故障诊断”，2011年，化学工业出版社
论文：
[2019年度】
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.
13. 王箫剑,涂晓彤,李鸿光*,李富才,包文杰.匹配压缩脊线提取在齿轮箱故障诊断中的应用[J].振动.测试与诊断, 2019, 39(03): 471-477+666

【2018年度】
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.
10. 刘松涛,刘营,李鸿光*,李富才.某物联网机箱设备结构振动分析与减振研究[J].噪声与振动控制,2018,38(05):220-224.
11. 曹潇,李富才*.高铁轮对过盈配合下导波传播特性[J].上海交通大学学报, 2018, 52(08): 891-897.
12. 包文杰,毛成龙,胡越,涂晓彤,李富才*.基于Crazy Climber的时频分析方法与应用[J].噪声与振动控制, 2018, 38(S2): 669-672.
13. 朱艳萍,包文杰,涂晓彤,胡越,李富才*.改进的经验小波变换在滚动轴承故障诊断中的应用[J].噪声与振动控制, 2018, 38(01): 199-203.
14. 郭文新,么宇辉,李韵,李富才*,李鸿光.螺栓连接对高压转子结合面弯曲刚度的影响[J].噪声与振动控制, 2018, 38(01): 52-57.
15. 赵昕海,张术臣,李志深,李富才*,胡越.基于VMD的故障特征信号提取方法[J].振动.测试与诊断, 2018, 38(01): 11-19.

【2017年度】
1. Fucai Li*, Hongguang Li, Jianxi Qiu, Guang Meng, Guided wave propagation in H‐beam and probability‐based damage localization[J]. Structural Control and Health Monitoring, 2017, 24(5).
2. Jianxi Qiu, Fucai Li*, Jifeng Wang, Damage detection for high‐speed train axle based on the propagation characteristics of guided waves[J]. Structural Control and Health Monitoring, 2017, 24(3).
3. Yue Hu, Fucai Li*, Hongguang Li, Chengliang Liu, An enhanced empirical wavelet transform for noisy and non-stationary signal processing[J]. Digital Signal Processing, 2017, 60: 220-229.
4. Yue Hu, Xiaotong Tu, Fucai Li*, Hongguang, Li, Guang, Meng, An adaptive and tacholess order analysis method based on enhanced empirical wavelet transform for fault detection of bearings with varying speeds[J]. Journal of Sound and Vibration, 2017, 409: 241-255.
5. Xiaotong Tu, Yue Hu, Fucai Li*, Saqlain Abbas, Yang Liu, Instantaneous Frequency Estimation for Nonlinear FM Signal Based on Modified Polynomial Chirplet Transform[J]. IEEE Transactions on Instrumentation and Measurement, 2017, 66(11): 2898-2908.
6. Hongguang Li, Ming Li, Cheng Li, Fucai Li, Guang Meng, Multi-faults decoupling on turbo-expander using differential-based ensemble empirical mode decomposition[J]. Mechanical Systems and Signal Processing, 2017, 93: 267-280.
7. Hongguang Li, Yue Hu, Fucai Li*, Guang Meng, Succinct and fast empirical mode decomposition[J]. Mechanical Systems and Signal Processing, 2017, 85: 879-895.
8. 刘阳,李诚,李富才*,李鸿光. 航空发动机叶片脱落的非线性瞬态动力学研究[J]. 机械工程学报,:1-15(2017-09-18).
【2014年度】
[1] Fucai Li, Haikuo Peng, Guang Meng. Quantitative damage image construction in plate structures using a circular PZT array and Lamb wave, Sensors and Actuators A: Physical, 2014,214: 66-73.
[2] Fucai Li, Zhiqiang Liu, Xuewei Sun, Hongguang Li, Guang Meng. Propagation of guided wave in pressure vessel, Wave Motion, 2015,52: 216-228.
[3] 李明，李富才，李鸿光，孟光. 浅裂纹转子特性的动态圣维南原理解释, 上海交通大学学报, 2014, 48(6): 870-876.
[4] 耿富礼，李富才，孟光. 二维全息谱在旋转机械故障诊断中的应用, 机械科学与技术, 2014, 33(10): 1445-1449.
[5] 耿富礼，李富才，孟光. 通用机械设备维护与节能, 机械科学与技术, 2014, 30(1): 159-164.
[6] 耿富礼，李富才，孟光. 利用 VS． NET 的全息谱分析及其在旋转机械故障诊断中的应用研究, 现代制造工程, 2014, 8: 135-139.
[7] 孔铭，李富才，周利民. 应用兰姆波测定材料弹性参数的反演方法, 噪声与振动控制, 2014, 34(5): 228-233.

【2013年度】
[1] Ming Li, Fucai Li, Beibei Jing, Huiyu Bai, Hongguang Li, Guang Meng. Multi-fault diagnosis of rotor system based on differential-based empirical mode decomposition, Journal of Vibration and Control, DOI: 10.1177/1077546313502505.
[2] Ming Li, Yu Wang, Fucai Li, Hongguang Li, Guang Meng. Modelica-based object-orient modeling of rotor system with multi-faults, Chinese Journal of Mechanical Engineering, 2013, 26, 6: 1169-1181.
[3] Zhenghao Sun, Fucai Li, Hongguang Li. A numerical study of non-collinear mixing of three-dimensional nonlinear waves in an elastic half-space, Proceedings of Meetings on Acoustics, 2013, Vol. 19, 030068.
[4] 李富才，苗晓婷，孙学伟，李鸿光，孟光. 基于导波的圆柱结构损伤识别方法, 机械工程学报, 2013, Vol. 49, No. 6: 52-59.
[5] 王金福，李富才. 机械故障诊断的信号处理方法：频域分析, 噪声与振动控制, 2013, 33(1): 173-180.
[6] 王金福，李富才. 机械故障诊断技术中的信号处理方法：时域分析, 噪声与振动控制, 2013, 33(2): 128-132.
[7] 王金福，李富才. 机械故障诊断技术中的信号处理方法：时频分析, 噪声与振动控制, 2013, 33(3): 198-202.

【2012年度】
[1] Fucai Li, Haikuo Peng, Xuewei Sun, Jinfu Wang, Guang Meng. Wave propagation analysis in composite laminates containing a delamination using a three-dimensional spectral element method. Mathematical Problems in Engineering, 2012, Article ID 659849, 19 pages.
[2] Xiaoting Miao, Fucai Li*, Lin Ye, Xuewei Sun, Ye Lu. A Split Spectrum Processing of Noise-contaminated Wave Signals for Damage Detection. Smart Structures and Systems, 2012, V10(3): 253-270, 2012.
[3] 李富才，彭海阔，孙学伟，王金福，孟光. 基于谱元法的板结构中导波传播机理与损伤识别研究. 机械工程学报, 2012, 48(21): 57-66.
[4] 孙学伟，李富才*，苗晓婷，孟光，周利民. 厚梁结构中的超声导波传播与损伤识别. 机械工程学报, 2012, 48(14): 1-10.
[5] 苗晓婷，李富才*，孟光. 分谱处理算法在基于超声导波损伤识别中的应用. 振动与冲击, 2012, 31(1): 5-10.

【2011年及以前】
[1] Haikuo Peng, Lin Ye, Guang Meng, Fucai Li. Characteristics of elastic wave propagation in thick beams - when guided waves prevail? Journal of Theoretical and Applied Mechanics. 2011, 49(3): 807-823
[2] 苗晓婷，李富才，孟光. 结合时间逆转的兰姆波与加权分布成像算法对多损伤识别的研究. 机械工程学报, 2011, 47(16): 1-8
[3] Xiaoting Miao, DongWang, Lin Ye, Ye Lu, Fucai Li, Guang Meng. Identification of dual notches based on time-reversal lamb waves and a damage diagnostic imaging algorithm. Journal of Intelligent Material Systems and Structures. 2011, 22(17): 1983–1992
[4] 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, 19: 065008(12pp)
[5] Haikuo Peng, Lin Ye, Guang Meng, Fucai Li. Concise analysis of wave propagation using the spectral element method and identification of delamination in CF/EP composite beams. Smart Materials and Structures. 2010, 19: 085018(11pp)
[6] 李富才，孟光，胥永刚. 基于多尺度峭度指标的损伤识别研究，振动与冲击，2010, 29(S): 76-78
[7] 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.
[8] 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.
[9] 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.
[10] 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.
[11] 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.
[12] 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.
[13] 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.
[14] 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.
[15] 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.
[16] 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.
[17] Fucai Li, Kazuro Kageyama, Hideaki Murayama and Isamu Ohsawa. Delamination detection in CFRP laminates using FOD sensor, Proc. SPIE, 2009, vol. 7493.
[18] 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.
[19] Fucai Li and Guang Meng. Dispersion analysis of Lamb waves with narrow frequency bands. ACTA Physica Sinica. 2008, 57, 4265-4272.
[20] 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.
[21] 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.
[22] 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.
[23] 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.
[24] 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.
[25] 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
[26] 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.
[27] 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.
[28] 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.
[29] 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.
[30] 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.
[31] 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.
[32] 李富才，何正嘉，陈进. 小波域相关滤波法及其早期故障预示应用. 振动工程学报. 2005, 18, 145-148.
[33] Guicai Zhang, Jin Chen and Fucai Li. Extracting gear fault features using maximal bispectrum. Key Engineering Materials. 2005, 293-294: 167-174.
[34] 彭海阔，孟光，李富才. 一种基于压电晶片阵列的板结构损伤识别方法. 振动与冲击. 2009, 28(9): 56-59.（EI收录）
[35] 孙凯，孟光，李富才，叶林. 基于弹性导波的厚梁结构的损伤检测. 振动与冲击. 2009, 28(12): 110-113.（EI收录）

机械系统动力学与振动（全英文），本科生，48学时

工程信号处理（全英文课程），研究生，48学时

软件著作权：
[1]李富才，孙学伟，导波频散特性分析软件V1.0，登记号：2011SR088749，日期：2011年11月30日
[2]李富才，王金福，振动信号离线分析系统V1.0，登记号：2011SR089102，日期：2011年11月30日

发明专利：
[1] 李富才，孟光，王栋，叶林，基于导向波的盘式制动器摩擦片磨损程度检测系统，国家发明专利，专利号：ZL200710047396.5，授权日期：2009年7月8日
[2] 李富才，孟光，王栋，叶林，基于弹性波与无线网络的制动器摩擦片磨损程度监测系统，国家发明专利，专利号：ZL200710047394.6，授权日期：2009年4月22日
[3] 李富才，孟光，孙凯，基于时间与空间域导向波模式的识别方法，国家发明专利，申请号：200910048245.0，申请日期：2009年3月26日
[4] 孙凯，李富才，孟光，叶林，基于导向波的厚梁结构损伤检测方法，国家发明专利，申请号：200910049014.1，申请日期：2009年4月9日

中国设备管理协会设备诊断与自愈工程委员会，副主任委员
中国振动工程学会转子动力学专业委员会，常务理事
《Journal of Vibration Engineering and Technologies》，编委
《Advances in Vibration Engineering》，编委
中国仪器仪表学会设备结构健康监测与预警分会，理事
中国振动工程学会故障诊断专业委员会，理事

2009年至今，日本东京大学环境海洋工学系船装研究所，客座研究员

2015年度上海交通大学“SMC-晨星优秀青年教师”（A类）
2013年度教育部“新世纪优秀人才支持计划”
2011年度上海交通大学“SMC-晨星优秀青年教师”（B类）
2009年度上海交通大学优秀青年教师一等奖
2004年度教育部提名国家自然科学二等奖（第五完成人）