|
[1]
|
Guo Tao-Hong. Discussion on equipment repair system. Railway Freight Transport, 2000, (5): 31-33 (郭韬红. 设备维修制度的探讨. 铁路货运, 2000, (5): 31-33)
|
|
[2]
|
Sun Bo, Kang Rui, Xie Jin-Song. Research and application of the prognostic and health management system. Systems Engineering and Electronics, 2007, 29(10): 1762-1767 (孙博, 康锐, 谢劲松. 故障预测与健康管理系统研究和应用现状综述. 系统工程与电子技术, 2007, 29(10): 1762-1767)
|
|
[3]
|
Si Xiao-Sheng, Hu Chang-Hua, Zhou Dong-Hua. Nonlinear degradation process modeling and remaining useful life estimation subject to measurement error. Acta Automatica Sinca, 2013, 39(5): 530-541(司小胜, 胡昌华, 周东华. 带测量误差的非线性退化过程建模与剩余寿命估计. 自动化学报, 2013, 39(5): 530-541)
|
|
[4]
|
Wu Ming-Qiang, Fang Hong-Zheng, Yi Da-Wei. Fault prognostic approach and application technique research of complex system. Computer Measurement & Control, 2010, 18(1): 70-77 (吴明强, 房红征, 伊大伟. 复杂系统故障预测方法与应用技术研究. 计算机测量与控制, 2010, 18(1): 70-77)
|
|
[5]
|
Hu You-Tao, Hu Chang-Hua, Kong Xiang-Yu, Zhou Zhi-Jie. Real-time lifetime prediction method based on wavelet support vector regression and fuzzy c-means clustering. Acta Automatica Sinca, 2012, 38(3): 331-340 (胡友涛, 胡昌华, 孔祥玉, 周志杰. 基于WSVR和FCM聚类的实时寿命预测方法. 自动化学报, 2012, 38(3): 331-340)
|
|
[6]
|
Li Y, Billington S, Zhang C, Kurfess T, Danyluk S, Liang S. Adaptive prognostics for rolling element bearing condition. Mechanical Systems and Signal Processing, 1999, 3(1): 103-113
|
|
[7]
|
Li Y, Kurfess T R, Liang S Y. Stochastic prognostics for rolling element bearings. Mechanical Systems and Signal Processing, 2000, 4(5): 747-762
|
|
[8]
|
Zhou Dong-Hua, Liu Yang, He Xiao. Review on fault diagnosis techniques for closed-loop systems. Acta Automatica Sinca, 2011, 15(8): 1933-1943 (周东华, 刘洋, 何潇. 闭环系统故障诊断技术综述. 自动化学报, 2013, 39(11): 1933-1943)
|
|
[9]
|
Jiang Yuan-Yuan, Wang You-Ren, Cui Jiang, Sun Feng-Yan. Research on fault prediction method of power electronic circuits based on least squares support vector machine. Electric Machines and Control, 2011, 15(8): 64-68, 74(姜媛媛, 王友仁, 崔江, 孙凤艳. 基于LS-SVM的电力电子电路故障预测方法. 电机与控制学报, 2011, 15(8): 64-68, 74)
|
|
[10]
|
Bossaerts P, Hillion P. Implementing statistical criteria to select return forecasting models: What do we learn? Review of Financial Studies, 1999, 12(2): 405-428
|
|
[11]
|
Wang W. An adaptive predictor for dynamic system forecasting. Mechanical Systems and Signal Processing, 2007, 21(2): 809-823
|
|
[12]
|
Wang, P, Vachtsevanos G. Fault prognostics using dynamic wavelet neural networks. AIEDAM, 2001, 5(4): 349-365
|
|
[13]
|
Djurdjanovic D, Lee J, Ni J. Watchdog agent —— an infotronics-based prognostics approach for product performance degradation assessment and prediction. Advanced Engineering Informatics, 2003, 7(3-4): 109-125
|
|
[14]
|
Wang W B. A two-stage prognosis model in condition based maintenance. European Journal of Operational Research, 2007, 82(3): 1177-1187
|
|
[15]
|
LeBaron B, Weigend A S. A bootstrap evaluation of the effect of data splitting on financial time series. IEEE Transactions on Neural Networks, 1998, 9(1): 213-220
|
|
[16]
|
Armano G, Marchesi M, Murru A. A hybrid genetic-neural architecture for stock indexes forecasting. Information Sciences, 2005, 70(1): 3-33
|
|
[17]
|
Erdem E, Shi J. ARMA based approaches for forecasting the tuple of wind speed and direction. Applied Energy, 2011, 88(4): 1405-1414
|
|
[18]
|
Elman J L. Finding structure in time. Cognitive Science, 1990, 4(2): 179-211
|
点击查看大图
下载:
