Design and Analysis of Fault Diagnosis System of Electrohydraulic Servo Valve Based on ANN

Yao Li; Jian Gang Yi

doi:10.4028/www.scientific.net/AMR.785-786.1380

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 785-786Design and Analysis of Fault Diagnosis System of...

Design and Analysis of Fault Diagnosis System of Electrohydraulic Servo Valve Based on ANN

Abstract:

It is a difficulty to combine artificial neural networks (ANN) with the fault diagnosis of electrohydraulic servo valve. To slolve this problem, the fault diagnosis mechanism of electrohydraulic servo system is analysed, the effecitveness of fault diagnosis based on ANN is verified, and the pressure characteristic data are used to construct ANN samples. Finally, the algorithms of RBF, BP and Elman are compared with the built system and sampled. The results show the RBF algorithm is more rapid and accurate and the proposed intelligent fault diagnosis system of electrohydraulic servo valve is valuable.

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Periodical:

Advanced Materials Research (Volumes 785-786)

Pages:

1380-1383

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.785-786.1380

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Online since:

September 2013

Authors:

Yao Li*, Jian Gang Yi

Keywords:

Artificial Neural Network (ANN), Electrohydraulic Servo Valve, Fault Diagnosis, Samples Construction

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