Intelligent fault diagnosis for instrument in gas transportation system
The reliability and availability of the metering system plays a crucial part in the gas transportation system because it affects the billing integrity between the gas supplier and their customers. A slight error in measurement will lead to significant monetary impact. Therefore, the challenge lies i...
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IEEE Computer Society
2014
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my.utp.eprints.321292022-03-29T04:59:35Z Intelligent fault diagnosis for instrument in gas transportation system Rosli, N.S. Ibrahim, R. Hung, N.T. Ismail, I. The reliability and availability of the metering system plays a crucial part in the gas transportation system because it affects the billing integrity between the gas supplier and their customers. A slight error in measurement will lead to significant monetary impact. Therefore, the challenge lies in building an online verification system that is able to check the accuracy of instruments in the metering system as well as to enable the verification system to reconstruct data in the case of faults on the instruments during operation time. This paper proposes hypotheses as well as a research plan to deal with these problems. The proposed idea invests in the behavior and relation among instruments based on empirical models, particularly Neural Network. Based on this model, the faults of instrument will be detected and unreliable data will be corrected. © 2014 IEEE. IEEE Computer Society 2014 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906342275&doi=10.1109%2fICIAS.2014.6869480&partnerID=40&md5=6654f64e1946153e7a61d8c6516873a8 Rosli, N.S. and Ibrahim, R. and Hung, N.T. and Ismail, I. (2014) Intelligent fault diagnosis for instrument in gas transportation system. In: UNSPECIFIED. http://eprints.utp.edu.my/32129/ |
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The reliability and availability of the metering system plays a crucial part in the gas transportation system because it affects the billing integrity between the gas supplier and their customers. A slight error in measurement will lead to significant monetary impact. Therefore, the challenge lies in building an online verification system that is able to check the accuracy of instruments in the metering system as well as to enable the verification system to reconstruct data in the case of faults on the instruments during operation time. This paper proposes hypotheses as well as a research plan to deal with these problems. The proposed idea invests in the behavior and relation among instruments based on empirical models, particularly Neural Network. Based on this model, the faults of instrument will be detected and unreliable data will be corrected. © 2014 IEEE. |
format |
Conference or Workshop Item |
author |
Rosli, N.S. Ibrahim, R. Hung, N.T. Ismail, I. |
spellingShingle |
Rosli, N.S. Ibrahim, R. Hung, N.T. Ismail, I. Intelligent fault diagnosis for instrument in gas transportation system |
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Rosli, N.S. Ibrahim, R. Hung, N.T. Ismail, I. |
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Rosli, N.S. |
title |
Intelligent fault diagnosis for instrument in gas transportation system |
title_short |
Intelligent fault diagnosis for instrument in gas transportation system |
title_full |
Intelligent fault diagnosis for instrument in gas transportation system |
title_fullStr |
Intelligent fault diagnosis for instrument in gas transportation system |
title_full_unstemmed |
Intelligent fault diagnosis for instrument in gas transportation system |
title_sort |
intelligent fault diagnosis for instrument in gas transportation system |
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IEEE Computer Society |
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2014 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906342275&doi=10.1109%2fICIAS.2014.6869480&partnerID=40&md5=6654f64e1946153e7a61d8c6516873a8 http://eprints.utp.edu.my/32129/ |
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