[1]郑近德,程军圣,杨宇.多尺度排列熵及其在滚动轴承故障诊断中的应用[J].中国机械工程,2013,24(19) :2641-2647.
ZHENG Jinde,CHENG Junsheng,YANG Yu.Multi-scale Permutation Entropy and Its Applications to Rolling Bearing Fault Diagnosis[J]. China Mechanical Engineering,2013,24(19) :2641-2647.
[2]裴峻峰,毕昆磊,吕苗荣,等.基于多特征参数和概率神经网络的滚动轴承故障诊断方法[J].中国机械工程,2014,25(15):2055-2058.
PEI Junfeng,BI Kunlei,LYU Miaorong,et al.Fault Diagnosis of Roller Bearings Based on Characteristic Parameters and Probabilistic Neural Network[J]. China Mechanical Engineering,2014,25(15):2055-2058.
[3]李胜,张培林,李兵,等.量子BP神经网络在发动机故障诊断中的应用[J].中国机械工程,2014,25(16):2159-2163.
LI Sheng,ZHANG Peilin,LI Bing,et al. Applications of Quantum BP Neural Network in Engine Fault Diagnosis[J]. China Mechanical Engineering,2014,25(16):2159-2163.
[4]JOU C C.Fuzzy Clustering Using Fuzzy Competitive Learning Networks[C]//International Joint Conference on Neural Networks.Miami:IEEE,1992:714-719.
[5]CARPENTER G A,GROSSBERG S.A Massively Parallel Architecture for a Self-organizing Neural Pattern Recognition Machine[J]. Computer Vision, Graphics, and Image Processing, 1987, 37:54-115.
[6]高晓红.ART神经网络的发展与应用[J].电脑知识与技术(学术交流),2007,20:509-526.
GAO Xiaohong. Development and Application of ART Neural Networks[J]. Computer Knowledge and Technology(Academic Exchange) ,2007,20:509-526.
[7]YU Yandong. Triangular Norms and TNF-sigma-algebras[J]. Fuzzy Sets and Systems,1985,16(3):251-264.
[8]LUUKKA P. Similarity Classifier Using Similarity Measure Derived from Yu's Norms in Classification of Medical Data Sets[J]. Computers in Biology and Medicine,2007,37(8):1133-1140.
[9]徐增丙,李友荣,王志刚,等. 基于ART和Yu范数的聚类方法在齿轮故障诊断中的应用[J].武汉科技大学学报,2016,39(2):116-120.
XU Zengbing,LI Yourong,WANG Zhigang,et al.A Novel Clustering Method Combining ART with Yu's Norm for Fault Diagnosis of Bearings [J].Journal of Wuhan University of Science and Technology,2016,39(2):116-120.
[10]The Case Western Reserve University Bearing Data Center. Bearing Data Center Fault Test Data[EB/OL]. (1998-10-04).http://csegroups.case.edu/bearingdatacenter/pages/download-data-file.
[11]王洪明,郝旺身,韩捷,等.全矢LMD能量熵在齿轮故障特征提取中的应用[J].中国机械工程,2015,26(16):2160-2164.
WANG Hongming,HAO Wangshen,HAN Jie,et al.Full Vector LMD Energy Entropy in Gear Fault Feature Extraction[J]. China Mechanical Engineering,2015,26(16):2160-2164.
[12]于耀亮,姜嘉言,张立明.一种新的距离测度学习算法[J].信息与电子工程,2008(2):115-119.
YU Yaoliang,JIANG Jiayan,ZHANG Liming. A
New Distance Metric Learning Algorithm[J]. Information and Electronic Engineering,2008(2):115-119.
[13]张任.基于振动信号的齿轮箱智能故障诊断方法研究[D].北京:北京化工大学,2013.
ZHANG Ren.Intelligent Fault Diagnosis Method Research of Gearbox Based on Vibration Signal[D].Beijing:Beijing University of Chemical Technology,2013.
[14]YANG B S,HAN T,AN J L.ART–KOHONEN Neural Network for Fault Diagnosis of Rotating Machinery[J]. Mechanical Systems and Signal Processing,2004,18(3):645-657.
[15]王书涛,张金敏,张淑清,等.基于威布尔与模糊C均值的滚动轴承故障识别[J].中国机械工程,2012,23(5) :595-598.
WANG Shutao,ZHANG Jinmin,ZHANG Shuqing,et al. Fault Diagnosis of Rolling Bearings Based on Weibull Distribution and Fuzzy C Means Clustering Analysis[J].China Mechanical Engineering,2012,23(5) :595-598.