近期论文 |
[1]Ke Li,Meng Xiong, Fucai Li, Lei Su, JingJing Wu,“A novel fault diagnosis algorithm for rotating machinery based on a sparsity andneighborhood preserving deep extreme learning”.Neurocomputing. 2019,350：261-270. [2]Ke Li, Rui Zhang, Fucai Li, Lei Su.“A New Rotation Machinery Fault Diagnosis Method Based on Deep Structure and Sparse Least Squares Support Vector Machine”. IEEE Access. 2019,7:26571-26580. [3]Ke Li,Lingyu Wang, JingJing Wu, Qiuju Zhang, Guanglan Liao, Lei Su. “Using GA-SVM for defect inspection of flip chips based on vibration signals”. Microelectronics Reliability. 81(2018) 159-166. [4]Li Ke*, Wu Jingjing, Zhang Qiuju,Su Lei and Chen Peng, “New Particle Filter Based on GA for Equipment Remaining Useful Life Prediction”. Sensors, 17.696.1-15, 2017 [5]Ke Li*, Lei Su, Jingjing Wu, Huaqing Wang ,* and Peng Chen, “A Rolling Bearing Fault Diagnosis Method Based on Variational Mode Decomposition and an Improved Kernel Extreme Learning Machine”, Applied Sciences, 7.1004.1-20, 2017. [6]Ke Li*,Yiya Liu, Jingjing Wu, Lei Su, Peng Chen, “Fault detection and diagnosis of rotating machinery using modified particle filter”, Journal of VIBROENGINEERING, 19.5.3395-3411, 2017 [7]Jingjing Wu,Ke Li*,Qiuju Zhang,Wei An,Yi Jiang,Xueliang PingandPeng Chen, “Iterative RANSAC based adaptive birth intensity estimation in GM-PHD filter for multi-target tracking”,Signal Processing,131: 412-421, 2017. [8] 张瑞,李可*,宿磊.深度稀疏最小二乘支持向量机故障诊断的研究[J].振动工程学报.2019 32(6):1104-1113 [9] 刘可,李可*,宿磊,王琨,张秋菊.基于蚁群算法与参数迁移的机器人三维路径规划方法[J].农业机械学报.2020,51(1):29-36. [10]张思雨，张秋菊，李可*采用机器视觉与自适应卷积神经网络检测花生仁品质[J].农业工程学报.2020,36(4):269-277 |
