| Citation: | XIANG Dan, CEN Jian. Method of roller bearing fault diagnosis based on feature fusion of EMD entropy[J]. Journal of Aerospace Power, 2015, 30(5): 1149-1155. doi: 10.13224/j.cnki.jasp.2015.05.016
|
| [1] |
Mclnerny S A, Dai Y.Basic vibration signal processing for bearing fault detection[J].IEEE Transactions on Education, 2003, 4(1):149-156.
|
| [2] |
Huang N E, Shen Z, Long S R, et al.The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J].Proceedings of The Royal Society A:Mathematical, Physical and Engineering Sciences, 1998, 454(1971):903-995.
|
| [3] |
YAN Ruqiang, GAO R X.Approximate entropy as a diagnostic tool for machine health monitoring[J].Mechancial Systems and Signal Processing, 2007, 21(2):824-839.
|
| [4] |
Pincus S M.Approximate entropy as a complexity measure[J].Chaos, 1995, 5(1):110-117.
|
| [5] |
于德介, 陈淼峰, 程军圣, 等.基于EMD的奇异值熵在转子系统故障诊断中的应用[J].振动与冲击, 2006, 25(2):24-26. YU Deje, CHEN Miaofeng, CHENG Junsheng, et al.Fault diagnosis approach for rotor system based on EMD method and singular value entropy[J].Journal of Vibration and Shock, 2006, 25(2):24-26.(in Chinese)
|
| [6] |
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):216-219. ZHANG Chao, CHEN Jianjun, GUO Xun.Gear fault diagnosis method based on EMD energy entropy and SVM[J].Journal of Vibration and Shock, 2010, 29(10):216-219.(in Chinese)
|
| [7] |
张超, 陈建军, 郭迅.基于EEMD能量熵和支持向量机的齿轮故障诊断方法[J].中南大学学报, 2012, 43(3):932-939. ZHANG Chao, CHEN Jianjun, GUO Xun.Gear fault diagnosis method based on ensemble empirical mode decomposition energy entropy and support vector mechine[J].Journal of Central South University, 2012, 43(3):932-939.(in Chinese)
|
| [8] |
何柯峰, 高隽.一种基于主分量分析的融合识别方法[J].仪器仪表学报, 2004, 25(4):440-444. HE Kefeng, GAO Jun.A method of fusion recognition based on PCA[J].Chinese Journal of Scientific Instrument, 2004, 25(4):440-444.(in Chinese)
|
| [9] |
向丹, 葛爽.一种基于小波包样本熵和流形学习的故障特征提取模型[J].振动与冲击, 2014, 33(11):1-5. XIANG Dan, GE Shuang.A model of fault feature extraction based on wavelet packet sample entropy and manifold learning[J].Journal of Vibration and Shock, 2014, 33(11):1-5.(in Chinese)
|
| [10] |
Fegeant O.Closed form solutions for the point mobilities of axi-symmetrically excited cylindrical shells[J].Journal of Sound and Vibration, 2001, 243(1):89-115.
|
| [11] |
鞠萍华, 秦树人, 秦毅, 等.多分辨EMD方法与频域平均在齿轮早期故障诊断的研究[J].振动与冲击, 2009, 28(5):97-101. JU Pinghua, QIN Shuren, QIN Yi, et al.Study of the average in the early fault diagnosis of gear multiresolution and frequency domain EMD method[J].Journal of Vibration and Shock, 2009, 28(5):97-101.(in Chinese)
|
| [12] |
Scholkopf B, Smola A, Muller K R.Nonlinear component analysis as a kernel eigenvalue problem[J].Neural Computation, 1998, 10(5):1299-1319.
|
| [13] |
许洁, 胡寿涛.基于KPCA和MKL-SVM的非线性过程监控与故障诊断[J].仪器仪表学报, 2010, 31(11):2428-2433. XU Jie, HU Shoutao.Nonlinear process monitoring and fault diagnosis based on KPCA and MKL-SVM[J].Chinese Journal of Scientific Instrument, 2010, 31(11):2428-2433.(in Chinese)
|
| [14] |
向丹, 葛爽.基于样本熵和流形学习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 manifold learning[J].Journal of Aerospace Power, 2014, 29(7):1535-1542.(in Chinese)
|
| [15] |
张熠卓, 徐光华, 梁霖, 等.利用增量式非线性流形学习的状态监测方法[J].西安交通大学学报, 2011, 45(1):64-68.(in Chinese)
ZHANG Yizhuo, XU Guanghua, LIANG Lin, et al.Condition monitoring method for mechanical equipments based on incremental nonlinear manifold learning[J].Journal of Xi'an Jiaotong University, 2011, 45(1):64-68.(in Chinese)
|
DownLoad: