Model Identification and Fault Diagnosis for Nonlinear Dynamic Networks /Systems (N/S)

journal6 ›› 2004, Vol. 25 ›› Issue (4): 4-9.

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Model Identification and Fault Diagnosis for Nonlinear Dynamic Networks /Systems (N/S)

(1.College of Electical and Information Engineering,Hunan University,Changsha 410082，Hunan China；2.School of Information Science & Engineering,Central South University,Changsha 410083,Hunan China)

Online:2004-12-15 Published:2012-09-22
About author:XIE hong(1964-),male,associate professor,doctor,place of birth:Changsha,hunan;main research fields:theory of nonlinear network and system,fault diagnosis of N/S.
Supported by:
Research supported by National Natural Science Foundation of China,GRANT(50277010,59707002)

Abstract

Abstract: By applying block-pulse function transform (BPFT) the hybrid model (H1,B) for a class of nonlinear dynamic N/S was identified in the paper.The relative formulas for calculating the hybrid model (H1,B) and discrete recursive formulas for computing Volterra series resolution of model of N/S were derived.Based on above a fault diagnosis method of multiple preset models for N/S was also proposed.This method can judge and classify the faults occurring in N/S by checking the matching degree between each preset model and the current working state of N/S.There is no need for computing the current model of N/S and analyzing the features on line.So the method can largely reduce the computational cost and the fault diagnosis can be realized on line.An example of fault diagnosis was given here.The results show that the accuracy of fault diagnosis reaches 80-90 percent by this means.

Key words: Block-pulse function transform, model identification, recursive calculation, multiple preset models, fault diagnosis, Volterra series

XIE Hong, PENG Wei-Shao, HE Yi-Gang. Model Identification and Fault Diagnosis for Nonlinear Dynamic Networks /Systems (N/S)[J]. journal6, 2004, 25(4): 4-9.

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Model Identification and Fault Diagnosis for Nonlinear Dynamic Networks /Systems (N/S)

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