[1] 张龙,黄文艺,熊国良.基于多尺度熵的滚动轴承故障程度评估[J]. 振动与冲击, 2014,33(9):185-189.
ZHANG Long, HUANG Wenyi, XIONG Guoliang. Assessment of rolling element bearing fault severity using multi-scale entropy[J]. Journal of Vibration and Shock, 2014,33(9):185-189.
[2] Jun Du, Shaoping Wang, Haiyan Zhang. Layered clustering multi-fault diagnosis for hydraulic piston pump [J]. Mechanical Systems and Signal Processing, 2013,(36):487-504.
[3] Zhen Zhao, Mingxing Jia, Fuli Wang, et al. Intermittent chaos and sliding window symbol sequence statistics-based early fault diagnosis for hydraulic pump on hydraulic tube tester[J]. Mechanical Systems and Signal Processing, 2009,(23):1573-1585.
[4] 鞠华,沈长青,黄伟国,等. 基于支持向量回归的轴承故障定量诊断应用[J]. 振动、测试与诊断,2014,34(4):767-771.
Ju Hua, Shen Changqing, Huang Weiguo, et al. Quantitative diagnosis of bearing fault based on support vector regression[J]. Journal of Vibration, measurement & Diagnosis, 2014,34(4):767-771.
[5] 王冰,李洪儒,许葆华.基于多尺度形态分解谱熵的电机轴承预测特征提取及退化状态评估[J].振动与冲击,2013,32(22):124-128.
WANG Bing, LI Hongru, XU Baohua. Motor bearing forecast extracting and degradation status identification based on multi-scale morphological decomposition spectral entropy[J]. Journal of Vibration and Shock, 2013,32(22):124-128.
[6] Costa M,Goldberger A L, Peng C K. Multi-scale entropy analysis of biological signals[J]. Physical Review E, 2005, 71,1-18.
[7] Shuen De Wu, Chiu Wen Wu, Kung Yen Lee, et al. Modified multi-scale entropy for short-term time series analysis[J], Physical A, 2013,392:5865-5873.
[8] 向丹,葛爽. 基于EMD样本熵-LLTSA的故障特征提取方法[J]. 航空动力学报,2014,29(7):1535-1542.
XIANG Dan, GE Shuang. Method of fault feature extraction based on EMD sample entropy and LLTSA[J]. Journal of Aerospace Power, 2014,29(7):1535-1542.
[9] 孙洁娣,肖启阳,温江涛,等. 基于LMD包络谱熵及SVM的天然气管道微小泄漏孔径识别[J]. 机械工程学报,2014,50(20):18-25.
SUN Jie-di, XIAO Qi-yang, WEN Jiang-tao, et al. Gas pipeline small leak aperture classification based on local mean decomposition envelope spectrum entropy and SVM[J]. Journal of Mechanical Engineering, 2014,50(20):18-25.
[10] 程军圣,郑近德,杨宇. 一种新的非平稳信号分析方法¬¬局部特征尺度分解法[J].振动工程学报,2012,25(2):215-220.
CHENG Jun-sheng, ZHENG Jin-de, YANG Yu. A non-stationary signal analysis approach—the local characteristic scale decomposition method[J]. Journal of vibration journal, 2012,25(2):215-220.
[11] 程军圣,杨怡,杨宇. 局部特征尺度分解方法及其在齿轮故障诊断中的应用[J]. 机械工程学报,2012,48(9):64-71.
CHENG Jun-sheng, YANG Yi, YANG Yu. Local characteristic-scale decomposition method and its application to gear fault diagnosis[J]. Journal of Mechanical Engineering,2012,48(9):64-71.
[12] 吴坚,赵阳,何春. 基于支持向量机回归算法的电子机械制动传感器系统故障诊断[J].吉林大学学报, 2013,43(5):1178-1183.
WU Jian, ZHAO Yang, HE Rui. Fault detection and diagnosis of EMB sensor system based on SVR[J]. Journal of JiLin University, 2013,43(5):1178-1183.
[13] 杨宇,王欢欢,曾鸣,等. 基于变量预测模型的模式识别方法在滚动轴承故障诊断中的应用[J].湖南大学学报(自然科学版),2013,40(3): 36-40.
YANU Yu, WAND Huanhuan, ZENG Ming. Application of pattern recognition approach based on VPMCD in roller bearing fault diagnosis[J]. Journal of Hunan University(Natural Sciences),2013,40(3):36-40.
[14] Raghuraj R, Lakshminarayanan S. Variable predictive models-A new multivariate classification approach for pattern recognition application [J]. Pattern Recognition,2009,42(1):7-16.
[15] Raghuraj R, Lakshminarayanan S. Variable predictive model based classification algorithm for effective separation of protein structural classes [J]. Computational Biology and Chemistry,2008,32(4):302-306.
[16] Raghuraj R, Lakshminarayanan S. VPMCD: Variable interaction modeling approach for class discrimination in biological system [J]. FEBS Letter,2007,581(5):826-830.
[17] 苏文胜,王奉涛,张志新等. EMD降噪和谱峭度法在滚动轴承早期故障诊断中的应用[J].振动与冲击,2010,29(3):18-21.
SU Wen-sheng, WANG Feng-tao, ZHANG Zhi-xin, etal. Application of EMD de-noising and spectral kurtosis in early fault diagnosis of rolling element bearings[J]. Journal of Vibration and Shock, 2010,29(3):18-21.
[18] 张志刚,石晓辉,施全,等. 基于改进EMD和谱峭度法滚动轴承故障特征提取[J]. 振动、测试与诊断,2013,33(3):478-482.
ZHANG Zhigang, SHI Xiaohui, SHI Quan, et al. Fault Feature Extraction of Rolling Element Bearing Based on Improved EMD and Spectral Kurtosis[J]. Journal of Vibration, Measurement & Diagnosis, 2013,33(3): 478-482.
[19] Yukui Wang, Hongru Li, Peng Ye. Fault Feature Extraction of Hydraulic Pump Based on CNC De-noising and HHT [J]. Journal of Failure Analysis and Prevention, 2015,15(1):139-151.