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1.Li Y, Hong Z, Cai D, Huang Y, Gong L, Liu C. A SVM and SLIC Based Detection Method for Paddy Field Boundary Line. Sensors. 2020; 20(9):2610.
2.蔡道清,周洪宇,覃程锦,李彦明,刘成良.基于小波变换的农田图像光照不变特征提取算法[J].农业机械学报,2020,51(02):15-20
3.刘成良,林洪振,李彦明,贡亮,苗中华.农业装备智能控制技术研究现状与发展趋势分析[J].农业机械学报,2020,51(01):1-18
4.Xiao, D., Huang, Y., Qin, C., Liu, Z., Li, Y., & Liu, C. (2019). Transfer learning with convolutional neural networks for small sample size problem in machinery fault diagnosis. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 0954406219840381.
5.Xiao, D., Huang, Y., Qin, C., Shi, H., & Li, Y. (2019). Fault Diagnosis of Induction Motors Using Recurrence Quantification Analysis and LSTM with Weighted BN. Shock and Vibration, 2019.
6.齐文超,李彦明,张锦辉,覃程锦,刘成良,殷月朋.丘陵山地拖拉机车身调平双闭环模糊PID控制方法[J].农业机械学报,2019,50(10):17-23+34.
7.段贤强,陶建峰,覃程锦,蔡道清,李彦明,刘成良.变速条件下农业机械路径跟踪稳定控制方法[J].农业机械学报,2019,50(09):18-24+32.
8.齐文超,李彦明,陶建峰,覃程锦,刘成良,种昆.丘陵山地拖拉机姿态主动调整系统设计与实验[J].农业机械学报,2019,50(07):381-388.
9.蔡道清, 李彦明, 覃程锦, 刘成良. 水田田埂边界支持向量机检测方法[J]. 农业机械学报, 2019, 050(006):22-27,109.
10.陈建国,李彦明,覃程锦,刘成良.小麦精量播种机排种高精度检测系统设计与试验[J].农业机械学报,2019,50(01):66-74.
11.陈建国,李彦明,覃程锦,刘成良.小麦播种量电容法检测系统设计与试验[J].农业工程学报,2018,34(18):51-58.
12.张雁,李彦明,刘翔鹏,陶建峰,刘成良,李瑞川.水田环境下水稻直播机自动驾驶控制方法[J].农业机械学报,2018,49(11):15-22.
13.张雁,李彦明,刘翔鹏,陶建峰,刘成良,李瑞川.水稻直播机自动驾驶模糊自适应控制方法[J].农业机械学报,2018,49(10):30-37.
14.Y. Li, J. Chen, C. Qin and C. Liu, "Design of Precise Detection System for Wheat Seeding Quantity Based on AD7746 Analog to Digital Conversion Chip," 2018 International Computers, Signals and Systems Conference (ICOMSSC), Dalian, China, 2018, pp. 706-711.
15.Zhang Y, Li Y, Huang Y, et al. A Path Tracking Method for Autonomous Rice Drill Seeder in Paddy Fields[C]//MATEC Web of Conferences. EDP Sciences, 2018, 220: 04004.
16.莫锦秋,周志宇,陶帅,李彦明.基于PWM技术的平移式变量喷灌机喷头流量分配方法[J].农业机械学报,2018,49(10):163-171.
17.唐小涛,陶建峰,李志腾,李彦明,刘成良.自动导航插秧机路径跟踪系统稳定性模糊控制优化方法[J].农业机械学报,2018,49(01):29-34.
18.Cai, C., Huang, Y., Wang, K., Li, Y., & Xing, H. (2018, August). Data-Driven Based State Recognition Method for Airliner Fuselage Join. In 2018 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC) (pp. 171-175). IEEE.
19.Xiao, D., Huang, Y., Zhang, X., Shi, H., Liu, C., & Li, Y. (2018, October). Fault Diagnosis of Asynchronous Motors Based on LSTM Neural Network. In 2018 Prognostics and System Health Management Conference (PHM-Chongqing) (pp. 540-545). IEEE
20.Huang Y, Li Y, Liu C, et al. A feature extraction method based on probabilistic Principal components analysis and sampling importance resampling for bearing fault detection[C]// IEEE International Conference on Prognostics & Health Management. 2017.
21.Li Y , Xi X , Xie J , et al. Study and Implementation of a Cooperative Hoisting for Two Crawler Cranes[J]. Journal of Intelligent & Robotic Systems, 2016, 83(2):165-178.
22.董子博, 吴鹏, 李彦明. 异型盾构刀盘驱动系统等效转动惯量实时辨识研究[J]. 现代隧道技术, 2016, 52: 69.
23.孙承铭, 李彦明, 黄圣. 异型盾构机双刀盘极端工况防碰撞的自适应协调控制[J]. 现代隧道技术, 2016, 1.
24.Zhao, S., Huang, Y., Wang, H., Liu, C., Li, Y., & Liu, X. (2016, June). A modified Mahalanobis-Taguchi System analysis for monitoring of ball screw health assessment. In 2016 IEEE International Conference on Prognostics and Health Management (ICPHM) (pp. 1-7). IEEE.
25.Du W, Tao J, Li Y, et al. Wavelet leaders multifractal features based fault diagnosis of rotating mechanism[J]. Mechanical Systems and Signal Processing, 2014, 43(1): 57-75.
26.Yanming Li, Shuangyuan Wang, and Bingchu Li ,Improved Visual Hook Capturing and Tracking for Precision Hoisting of Tower Crane[J], Advances in Mechanical Engineering, Volume 2013, Article ID 426810, 8 pages, http://dx.doi.org/10.1155/2013/426810
27.李彦明, 杜文辽, 叶鹏飞, 等. 振动信号小波 leaders 多重分形特征提取及性能分析[J]. 机械工程学报, 2013, 49(6): 60-65.
28.Yanming Li, Chengliang Liu，Integrating field data and 3D simulation for tower crane activity monitoring and alarming[J]，Automation in Construction, 27(2012)：111–119.
29.Yanming Li, Liang Gong , Jiahao Song , Yixiang Huang ,Chengliang Liu, ARM Based Load and Hook Measuring and Tracking for Precision Hoist of Tower Crane, Proceedings of 2013 IEEE International Conference on Mechatronics and Automation, August 4 - 7, Takamatsu, Japan.,1191-1195
30.Zheren Ma, Liang Gong, Yanming Li, Chengliang Liu,CMAC-based Real-time Calculation of the Effective Welding Current during A.C. Resistance Spot Welding, Proceedings of 2013 IEEE International Conference on Mechatronics and Automation, August 4 - 7, Takamatsu, Japan. 1669-1674.
31.Du Wenliao，Li Yanming，Yuan Jin，Liu Chengliang， Denoising with advanced stepwise false discovery rate control and its application to fault diagnosis，Measurement: Journal of the International Measurement Confederation,2012，45(6):1515-1526
32.Du Wenliao, Yuan Jin, Li Yanming, Liu Chengliang, Adaptive wavelet filtering for bearing monitoring based on block bootstrapping and white noise test, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2012,226(9): 2345-2360.
33.Gong Liang, Liu Chengliang, Li Yanming, Training feed-forward neural networks using the gradient descent method with the optimal stepsize, Journal of Computational Information Systems, 8(2012): 1359-1371.
34.Gong Liang, Liu Cheng-Liang, Li Yan-Ming, Control criteria determination and quality inference for resistance spot welding through monitoring the electrode displacement using bayesian belief networks, Journal of Advanced Mechanical Design, Systems and Manufacturing, 6(2012) :432-444
35.Gong Liang, Li Yanming, Li Bingchu, Online weld quality benchmarking and assurance during the mass-production resistance spot welding process, Advanced Materials Research, 443-444(2012):872-880.
36.N Li, Y Li,C Liu, C He, ,X F Zha, Gear fault detection based on adaptive wavelet packet feature extraction and relevance vector machine[J], Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science,2011,225(11): 2727-2738
37.C He, Y Li,C Liu, ,J Yuan, Intelligent fault diagnosis of rotating machinery based on multiple relevance vector machines with variance radial basis function kernel[J], Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science,2011,225(7): 1718-1729
38.Huang Yixiang; Liu Chengliang, Zha, Xuan F., Li Yanming, A lean model for performance assessment of machinery using second generation wavelet packet transform and Fisher criterion, Expert Systems with Applications,2010,37（5）： 3815-3822.
39.Yuan, J., Liu, C.-L. , Li, Y.-M., Zeng, Q., Zha, X.F. , Gaussian processes based bivariate control parameters optimization of variable-rate granular fertilizer applicator, Computers and Electronics in Agriculture, 2010,70(1): 33-41.
40.He, Chuangxin, Li, Yanming, Liu, Chengliang, Intelligent Gear Fault Detection Based on Relevance Vector Machine with Variance Radial Basis Function Kernel，2010 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2010; Montreal, QC; Canada; 6 July 2010 through 9 July 2010
41.Haining Liu, Yanming Li, Nan Li, and Chengliang Liu, Robust Visual Monitoring of Machine Status with Sparse Coding and Self-Organizing Map. ICIRA (1) 2010: 642-653
42.Nan Li, Yanming Li, Haining Liu, Chengliang Liu: An Evolving Machinery Fault Diagnosis Approach Based on Affinity Propagation Algorithm. ICIRA (1) 2010: 654-664
43.Wenliao Du， Yanming Li，Chengliang Liu，Adaptive wavelet de-noising based on FDR step-up-down procedure，Intelligent Control and Automation (WCICA), 2010 8th World Congress on，7-9 July 2010 ， page(s): 1316–1321
44.Yixiang Huang, ChengliangLiu，Yanming Li， An enhanced feature extraction model using lifting-based wavelet packet transform scheme and sampling –importance –resampling analysis，Mechanical Systems and Signal Processing ,2009,23 (8) :2470–2487
45.Yixiang Huang, Chengliang Liu, Yanming Li，Lifting Wavelet Packet Sampling Importance Resample Model for Feature Extraction，Proceedings of the 8th International Conference on Frontiers of Design and Manufacturing，September 23~26, 2008, Tianjin, China.
46.Zhang, Kai; Yu, Jun; Li, Yanming; Miao, Yubin, A structural analysis and optimum of a deformable unit for revolving magnetic actuation mechanism, Proceedings of the IEEE International Conference on Automation and Logistics, ICAL 2008, p 1637-1642,
47.He Chuangxin, Li Yanming,Liu Chengliang, Research and application of remote condition data acquisition method for construction machinery[J],Chinese Journal of Scientific Instrument;2009-04。
48.He, Chuangxin; Li, Yanming; Huang, Yixiang; Liu, Chengliang; Fei, Shengwei， Relevance vector machine based gear fault detection，Proceedings of the 2009 Chinese Conference on Pattern Recognition, CCPR 2009, and the 1st CJK Joint Workshop on Pattern Recognition, CJKPR, p 731-735.
49.Wang, G. , Ma, P., Li, Y., Cao, X., Sun, H., The mobile robot for outer surface inspection of boiler tubes, International Journal of Robotics and Automation,2004,19(1): 36-41.
50.Wang, G.-R. , Ma, P.-S., Cao, X., Sun, H., Li, Y.-M., Application of wireless local area network technology in mobile robot for finned tube inspection, Journal of Shanghai University, 2004,8(2):180-186.
51.Li, Y. , Ma, P., Qin, C., Xu, J., Gao, X.G. , A novel mobile robot for finned tubes inspection, Robotica,2003,21(6): 691-695.
52.Li, Y., Ma, P., Qin, C., Gao, X., Wang, J., Zhu, H., Design and study of a novel hyper-redundant manipulator, Robotica, 2003,21(5): 505-509.
53.Li, Y.-M., Ma, P.-S., Qin, C.-J., Cao, Z.-K, Wang, J.-B., Zhu, H.-H., Novel hyper-redundant manipulator: Design study and experiment, Journal of Dong Hua University (English Edition) ,2003,20(4):118-122.
54.孙旺,李彦明,杜文辽,苑进,刘成良, 基于蚁群神经网络的泵车主泵轴承性能评估, 上海交通大学学报, 2012, 46 (04) :596-600,
55.杜文辽,李安生,孙旺,李彦明,刘成良, 基于蚁群SVDD和聚类方法的旋转机械故障诊断, 上海交通大学学报, 2012, 46 (09) :1440-1444.
56.李根,李彦明,刘成良,基于可扩展标记语言的故障模型表述，机械制造与自动化，2012，41（4）：155-157.
57.屠珺,王明军,周俊,李彦明,刘成良,基于贝叶斯核主成分分析的远距离地形标记方法[J]. 机器人, 2012,34(1): 1-8.
58.杜文辽,刘成良,李彦明,基于多假设检验的新型小波滤波算法,振动与冲击, 2011,30(7):197-200.
59.李彦明，吕会娟，刘成良，工程机械远程监控BS－PLOT混合数据压缩研究，上海交通大学学报, 2010, 44(7): 1168-1172.
60.杜文辽,朱茹敏,李彦明,小波滤波分解层数的自适应确定方法,光电子．激光, 2010,21(9):1408-1411
61.何创新,李彦明,刘成良,刘海宁,基于滑动平均与相关向量机的齿轮早期故障智能诊断,振动与冲击,2010,29(12):89-92.
62.李楠,刘成良,李彦明,无线传感器网络节点长寿命太阳能供电系统研究,高技术通讯,2010,20(11):1201-1205.
63.李楠,刘成良,李彦明,张佳宝,朱安宁,基于3S技术联合的农田墒情远程监测系统,农业工程学报,2010,26(4):169-173.
64.屠珺,刘成良,李彦明,周俊,苑进,基于光照无关图的苹果图像识别方法,农业工程学报，2010，26(s2):26-30.
65.何创新,李彦明,刘成良,袁益明,温室微灌恒压组态轮灌自动控制系统,计算机工程,2010,36(20):222-224.
66.郑聪海,李彦明,杨山虎,刘成良,总线架构和裁剪化IEEE1451标准的塔机智能监测系统,计算机测量与控制,2010,18(9):1992-1995.
67.刘梦钦,李彦明,刘成良,车用催化器流场的数值模拟与结构优化设计,机械设计与研究, 2010,26(2):59-63.
68.李超，李彦明，刘成良，塔机远程虚拟监控研究，上海交通大学学报，2009,43(11)：1659-1692.
69.何创新，李彦明，刘成良，工程机械远程监测动态实时数据压缩，上海交通大学学报，2009,43(6)：914-917.
70.刘海宁，刘成良,李彦明，徐涛，基于GPS/GIS的虚拟港口可视化建模，上海交通大学学报，2009,43(6)：866-810.
71.陈斌，李彦明等．起重机远程监控数据仓库系统研究及实现［J］．微计算机信息．2009，9-3：137-139.
72.何创新,刘成良,李彦明,李楠, 基于CAN总线与GPRS的液压履带起重机远程状态信息采集系统研究,工程机械，2009,40(11):1-5.
73.李彦明，何创新，刘成良，工程机械远程监控信息流的数据管理和规划研究，高技术通讯，2008，18(11):1195-1199.
74.何创新，李彦明，刘成良，工程机械远程状态信息采集方法研究与应用，仪器仪表学报，2008，30(4):728-732
75.黄亦翔，刘成良，李彦明，多尺度正交时序模型及其在网络化设备预维护中的应用，上海交通大学学报, 2008, 42(7): 1168-1172
76.徐涛, 李彦明, 苗玉彬, 刘成良， 港口机械远程虚拟监控系统研究， 计算机工程 2008 34(21) : 276-278,283
77.邵健，李彦明，苗玉彬，刘成良，智能公交系统中的信息采集与处理技术，计算机工程，2008，34(12): 274-276.
78.杨海滨 李彦明 何创新 刘成良，工程机械智能锁定系统设计， 工程机械，2008，39（4）：8-14
79.杨海滨,李彦明,何创新,刘成良,工程机械无线数传终端研究,微计算机信息,2008,24(29):12-14.
80.苗中华, 刘成良,王旭永,李彦明,大摩擦力矩下电液伺服系统高精度控制与实验分析,上海交通大学学报，2008,42(10):1731-1735.
81.阳衡,李彦明,苗玉彬,刘成良, 重大装备远程监控终端研究,微计算机信息，2008,24(8-2):4-5.
82.何创新 刘成良 李彦明 液压履带起重机远程状态信息采集系统研究与应用，《第五届全国流体传动与控制学术会议暨2008年中国航空学会液压与气动学术会议论文集
83.邵健,李彦明,苗玉彬,刘成良, 智能公交系统中的信息采集与处理技术,计算机工程，2008,34(12):274-276.
84.杨海滨,李彦明,何创新,刘成良, 工程机械智能锁定系统设计,工程机械，工程机械，2008，39（4）：8-14。
85.郑长奇，苗玉彬，李彦明，刘成良，基于冲击效率最优的土壤采样机伺服系统设计，液压与气动，2008,3:22-25.
86.耿向宇 李彦明 苗玉彬 刘成良，基于GPRS的变量施肥机系统研究［J］，农业工程学报，2007，23（11）：164－167.
87.鲁守银,马培荪,潘皓,傅孟潮,李彦明, 电站锅炉热交换承压管自动无损检测技术,热力发电，2004（05）：71-74.
88.张莉，李彦明，马培荪，秦昌骏，徐军，基于模糊PID控制器的多电机同步控制装置的应用，工业仪表与自动化装置，2003(4):11-14.
89.秦昌骏,李彦明,马培荪,徐军, 承压管道检测机器人的多级通讯系统,机械与电子，2003（4）：63-67.
90.李彦明，秦昌骏，徐军，马培荪，锅炉承压管道检测机器人通讯的纠错编码，机器人，2003,25(2):109-112.
91.李彦明,马培荪,高雪官,鲁守银, 承压管道外检测机器人行走机构设计,机械设计与制造，2002（6）：50-52.
92.李彦明,马培荪,徐军,基于PLC控制的中药智能配药机,机电工程，2002,19(3):32-35.
93.李彦明，马培荪, 徐军,高雪官, 基于反射式光电传感器的直流电机测速及控制系统,机械与电子，2002（3）:24-27.
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