DocumentCode :
1864141
Title :
Application of BP neural network in failure diagnosis of electromagnetic direction valve
Author :
Minqiang Dai ; Wei Cai ; Shengdun Zhao
Author_Institution :
School of Mechanical Engineering, Xi´an Jiao tong University, 710049, China
fYear :
2012
fDate :
3-5 March 2012
Firstpage :
530
Lastpage :
533
Abstract :
The paper discussed the application of BP Neural network in electromagnetic direction valve failure diagnosis. The models of failure simulation were made through damaging some parts of the electromagnetic direction valve. A three-layer BP neural network were constructed to diagnose the electromagnetic direction valve based on the signals measured by a non -intrusive detection device. After trained by a subset of the input-output dataset, the diagnosis errors of the application of the BP neural network in electromagnetic direction valve failure diagnosis were comparatively small.
Keywords :
Electromagnetic Direction Valve; Failure Diagnosis; Failure Simulation; Neural Network;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
Conference_Location :
Xiamen
Electronic_ISBN :
978-1-84919-537-9
Type :
conf
DOI :
10.1049/cp.2012.1033
Filename :
6492640
Link To Document :
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