Review of Diagnosis Technique for Equipment Faults and its Development Trend

Modern control system is becoming larger and more complicated with each passing day and the possibility of system breakdown increases with it, so people eagerly need to set up fault diagnosis system to conduct real-time monitoring and fault diagnosis for production system and take necessary measures to improve its overall reliability and maintainability. This paper states the principles and basic approaches of diagnosis tech- nique for equipment faults, introduces development phrase of fault diagnosis technique and points out future development trend in this field.

[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.