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Fault Diagnosis of Pneumatic Valve with DAMADICS Simulator using ANN based Classifier Approach

Published on December 2013 by Sundarmahesh. R, Kannapiran. B
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International Conference on Innovations In Intelligent Instrumentation, Optimization and Electrical Sciences
Foundation of Computer Science USA
ICIIIOES - Number 9
December 2013
Authors: Sundarmahesh. R, Kannapiran. B
dd482233-26e9-4c4d-82c6-ec6958d428c4

Sundarmahesh. R, Kannapiran. B . Fault Diagnosis of Pneumatic Valve with DAMADICS Simulator using ANN based Classifier Approach. International Conference on Innovations In Intelligent Instrumentation, Optimization and Electrical Sciences. ICIIIOES, 9 (December 2013), 18-17.

@article{
author = { Sundarmahesh. R, Kannapiran. B },
title = { Fault Diagnosis of Pneumatic Valve with DAMADICS Simulator using ANN based Classifier Approach },
journal = { International Conference on Innovations In Intelligent Instrumentation, Optimization and Electrical Sciences },
issue_date = { December 2013 },
volume = { ICIIIOES },
number = { 9 },
month = { December },
year = { 2013 },
issn = 0975-8887,
pages = { 18-17 },
numpages = 0,
url = { /proceedings/iciiioes/number9/14343-1648/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Innovations In Intelligent Instrumentation, Optimization and Electrical Sciences
%A Sundarmahesh. R
%A Kannapiran. B
%T Fault Diagnosis of Pneumatic Valve with DAMADICS Simulator using ANN based Classifier Approach
%J International Conference on Innovations In Intelligent Instrumentation, Optimization and Electrical Sciences
%@ 0975-8887
%V ICIIIOES
%N 9
%P 18-17
%D 2013
%I International Journal of Computer Applications
Abstract

The detection and diagnosis of fault in automation plants is of great practical significance and paramount importance for the safe operation. Many analytical based techniques have been proposed during the past several years for fault detection of process plants. The problem with these techniques is that under real condition no accurate models of the system of interest can be obtained. In this paper DAMADICS (Development of applications and Methods for Actuator Diagnosis in Industrial Control System) simulator examines the data with different faulty conditions and ANN based approach will shows better performance for the given input set of input. This paper deals with various artificial neural networks algorithms including order reduction technique for predictive Fault Detection And Diagnosis approach.

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Index Terms

Computer Science
Information Sciences

Keywords

Pneumatic Valve Neural Networks Fault Diagnosis Pca Bpn