[1]李辉,郑海起,唐立伟.声测法和经验模态分解在轴承故障诊断中的应用[J].中国电机工程学报,2006,26(15):124-128.
LI Hui, ZHENG Haiqi, TANG Liwei. Application of Acoustic Measurement and Empirical Mode Decomposition in Bearing Fault Diagnosis[J]. Proceedings of the Chinese Society of Electrical Engineering, 2006,26 (15): 124-128.
[2]高强,杜小山,范虹,等.滚动轴承故障的EMD诊断方法研究[J].振动工程学报,2007,20(1):15-18.
GAO Qiang, DU Xiaoshan, FAN Hong, et al. Study on EMD Diagnosis of Rolling Bearing Fault [J]. Journal of Vibration Engineering, 2007, 20 (1): 15-18.
[3]张俊红, 李林洁, 马文朋, 等. EMD-ICA联合降噪在滚动轴承故障诊断中的应用[J]. 中国机械工程, 2013, 24(11): 1468-1472.
ZHANG Junhong,LI Linjie,MA Wenpeng,et al.Application of EMD-ICA to Fault Diagnosis of Rolling Bearings[J].China Mechanical Engineering, 2013, 24(11): 1468-1472.
[4]张超,陈建军,郭迅.基于EMD能量熵和支持向量机的齿轮故障诊断方法[J].振动与冲击,2010,29(10):60-65.
ZHANG Chao, CHEN Jianjun, GUO Xun. A Method of Gear Fault Diagnosis Based on EMD Energy Entropy and Support Vector Machine [J]. Vibration and Shock, 2010,29 (10): 60-65.
[5]DRAGOMIRETSKIY K, ZOSSO D. Variational Mode Decomposition [J].IEEE Transactions on Signal Processing, 2014, 62(3):531-544.
[6]陆爽.基于奇异值分解和支持向量机的滚动轴承故障模式识别[J].农业工程学报,2007,23(4):15-20.
LU Shuang. Identification of Rolling Bearing Failure Modes Based on Singular Value Decomposition and Support Vector Machines [J]. Journal of Agricultural Engineering, 2007, 23(4): 15-20.
[7]苑津莎,张利伟,王瑜,等.基于极限学习机的变压器故障诊断方法研究[J].电测与仪表,2013,50(12):21-26.
YUAN Jinsha, ZHANG Liwei, WANG Yu,et al. Study of Transformer Fault Diagnosis Based on Extreme Learning Machine[J]. Electrical Measurement & Instrumentation, 2013,50 (12): 21-26.
[8]刘长良,武英杰,甄成刚.基于变分模态分解和模糊C均值聚类的滚动轴承故障诊断[J].中国电机工程学报,2015,35(13):3358-3366.
LIU Changliang, WU Yingjie, ZHEN Chenggang. The Variational Modal Decomposition and Fuzzy C Means Clustering [J]. Rolling Bearing Fault Diagnosis Based on China of the CSEE, 2015, 35(13): 3358-3366.
[9]张鹏军,刘三阳. 求解复杂函数优化问题的混合蛙跳算法[J]. 计算机应用研究, 2009,26(7): 2435-2438.
ZHANG Pengjun, LIU Sanyang. Application of SFLA [J].Computer in Solving Complex Function Optimization Problems, 2009,26(7): 2435-2438.
[10]薛升翔,贾振红,杨杰,等. 用蛙跳算法优化RBF神经网络参数的研究[J].计算机工程与应用,2011,47(28):59-61.
XUE Shengxiang, JIA Zhenhong, YANG Jie,et al. Using Shuffled Frog Leaping Algorithm to Optimize the Parameters of Radial Basis Function Neural Network[J].Computer Engineering and Application,2011, 47(28): 59-61.
[11]李辉,郑海起,唐力伟.基于EMD和包络谱分析的轴承故障诊断研究[J].河北工业大学学报,2005,34(1):11-16.
LI Hui, ZHENG Haiqi, TANG Liwei. Study on Fault Diagnosis of Bearing Based on EMD and Envelope Spectrum Analysis [J]. Journal of Hebei University of Technology, 2005,34(1): 11-16.
[12]唐贵基,王晓龙.参数优化变分模态分解方法在滚动轴承早期故障诊断中的应用[J].西安交通大学学报,2015,49(5):73-81.
TANG Guiji, WANG Xiaolong. Application of Parametric Optimization Modal Decomposition Method for Early Fault Diagnosis of Rolling Bearing [J]. Journal of Xi’an Jiaotong University, 2015,49 (5): 73-81.
[13]王卓,田振华,赵丁选. 滚动轴承的振动监测与故障诊断系统[J].机电工程,2001,18(6):52-54.
WANG Zhuo, TIAN Zhenhua, ZHAO Dingxuan. Vibration Monitoring and Fault Diagnosis System for Rolling Bearings[J].Journal of Mechanical & Electrical Engineering, 2001,18(6):52-54. |