[PDF][PDF] 基于深度学习理论的轴承状态识别研究
郭亮， 高宏力， 张一文， 黄海凤 - JOURNAL OF VIBRATION AND …, 2016 - researchgate.net
针对滚动轴承振动数据耦合程度高, 信号特征提取和识别模型建立困难的问题,
提出了一种基于深度学习理论的状态监测方法. 提取振动信号的时域, 频域和时频域特征构成 …
提出了一种基于深度学习理论的状态监测方法. 提取振动信号的时域, 频域和时频域特征构成 …
基于PSO 算法和SVR 模型的加工中心可靠性模型参数估计
杨兆军， 杨川贵， 陈菲， 郝庆波， 郑志同… - 吉林大学学报(工学版 …, 2015 - xuebao.jlu.edu.cn
针对加工中心可靠性模型, 提出了一种基于支持向量回归模型的参数估计方法,
并利用改进的局部最优粒子群优化算法对支持向量回归模型的参数进行优化 …
并利用改进的局部最优粒子群优化算法对支持向量回归模型的参数进行优化 …
Study of sensor fault detection based on modified SVM algorithm
Z Yu, Y Xu, Y Ma, Y Wu… - 2014 International SoC …, 2014 - ieeexplore.ieee.org
Sensor is an essential device in automation control system, and the reliable sensor signal
has the massive benefits of the normal operation of whole system. This paper proposed an …
has the massive benefits of the normal operation of whole system. This paper proposed an …
[PDF][PDF] Application of support vector machine in driving ranges prediction of pure electric vehicle with dual–energy storage system based on particle swarm algorithm
S Du, C Zuo - cmnt.lv
Driving ranges was a key factor that may affect the popularization and development of pure
electric vehicle (PEV) with dual-energy storage system (DESS). It relied on neural network …
electric vehicle (PEV) with dual-energy storage system (DESS). It relied on neural network …