Universiti Teknologi Malaysia Institutional Repository

Model based fault detection in process plant

Leong, Wah Heng and Ahmad, Arshad (1997) Model based fault detection in process plant. In: Regional Symposium on Chemical Engineering 1997 in conjunction with 13th Symposium of Malaysian Chemical Engineers, 13-15 October 1997, Hyatt Regency, Johor, Malaysia.

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Abstract

In this paper, the application of neural network in detecting sensor failures is presented. The study was conducted on the Tennessee Eastman test problem. Faulty conditions were generated by imposing sensor failures in the reactor operation. Both single and multiple fault conditions were investigated. The results revealed that a three layer feedforward network was capable of providing the intended function.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Detection of sensor failures, fault detection, process plant, reaction operation, single and multiple fault conditions, Tennessee Eastman test
Subjects:T Technology > T Technology (General)
Divisions:Chemical and Natural Resources Engineering (Formerly known)
ID Code:4715
Deposited By: Norhani Jusoh
Deposited On:18 Dec 2007 01:56
Last Modified:01 Jun 2010 03:20

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