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Fault Detection and Isolation for Complex System

Chan, Shi Jing and Bayuaji, Luhur and Rosdiyana, Samad and Mahfuzah, Mustafa and Nor Rul Hasma, Abdullah and Zainah, Md. Zain and Pebrianti, Dwi (2017) Fault Detection and Isolation for Complex System. In: AIP Conference Proceedings: Proceeding of the 3rd International Conference of Global Network for Innovative Technology 2016 (3rd IGNITE-2016), 27-29 January 2016 , Penang, Malaysia. pp. 1-6., 1865 (070010). ISBN 978-0-7354-1545-4

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Abstract

Fault Detection and Isolation (FDI) is a method to monitor, identify, and pinpoint the type and location of system fault in a complex multiple input multiple output (MIMO) non-linear system. A two wheel robot is used as a complex system in this study. The aim of the research is to construct and design a Fault Detection and Isolation algorithm. The proposed method for the fault identification is using hybrid technique that combines Kalman filter and Artificial Neural Network (ANN). The Kalman filter is able to recognize the data from the sensors of the system and indicate the fault of the system in the sensor reading. Error prediction is based on the fault magnitude and the time occurrence of fault. Additionally, Artificial Neural Network (ANN) is another algorithm used to determine the type of fault and isolate the fault in the system.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Control theory; Complex systems; Artificial intelligence; Error correction; Sensors
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Computer System And Software Engineering
Faculty of Electrical & Electronic Engineering
Depositing User: Dr. Dwi Pebrianti
Date Deposited: 13 Dec 2017 02:08
Last Modified: 25 Apr 2018 07:48
URI: http://umpir.ump.edu.my/id/eprint/19527
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