Intelligent fault diagnosis for instrument in gas transportation system

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.

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Abstract

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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 2; Conference of 2014 5th International Conference on Intelligent and Advanced Systems, ICIAS 2014 ; Conference Date: 3 June 2014 Through 5 June 2014; Conference Code:107042
Uncontrolled Keywords: Failure analysis, Gas consumption; Gas transportation; Intelligent fault diagnosis; Metering systems; Neural network model; On-line verifications; Reliability and availability; Verification systems, Transportation
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 16:16
Last Modified: 09 Nov 2023 16:16
URI: https://khub.utp.edu.my/scholars/id/eprint/4936

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