Review of Diagnosis Technique for Equipment Faults and its Development Trend
暂无分享,去创建一个
[1] Wu Cheng,et al. Scheduling of development projects with uncertain iterations , 2001 .
[2] R. Morpurgo,et al. I‐DSS: an intelligent diagnostic support system , 2001, Expert Syst. J. Knowl. Eng..
[3] Bernhard Schölkopf,et al. A tutorial on support vector regression , 2004, Stat. Comput..
[4] Z. Q. John Lu,et al. Nonlinear Time Series: Nonparametric and Parametric Methods , 2004, Technometrics.
[5] T. L. Skvarenina,et al. The Power Electronics Handbook , 2001 .
[6] M.G. Pecht,et al. Prognostics and health management of electronics , 2008, IEEE Transactions on Components and Packaging Technologies.
[7] Bo-Suk Yang,et al. Combination of independent component analysis and support vector machines for intelligent faults diagnosis of induction motors , 2007, Expert Syst. Appl..
[8] Tommy W. S. Chow,et al. Induction machine fault detection using SOM-based RBF neural networks , 2004, IEEE Transactions on Industrial Electronics.
[9] Jan Larsson. Avoiding Human Error , 2000 .
[10] Vicenç Puig,et al. Model-based fault diagnosis in PEM fuel cell systems , 2009 .
[11] Chrissanthi Angeli,et al. A Model-Based Method for an Online Diagnostic Knowledge-Based System , 2001, Expert Syst. J. Knowl. Eng..
[12] Rolf Isermann,et al. Model-based fault-detection and diagnosis - status and applications , 2004, Annu. Rev. Control..
[13] Liu Pengyuan,et al. Study on missile intelligent fault diagnosis system based on fuzzy NN expert system , 2001 .
[14] Meng Joo Er,et al. Application of a system for the automatic generation of fuzzy neural networks , 2000 .
[15] Samir Kouro,et al. Unidimensional Modulation Technique for Cascaded Multilevel Converters , 2009, IEEE Transactions on Industrial Electronics.