Fault Detection and Isolation for Complex System

Fault Detection and Isolation for Complex System

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 desi...

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Main Authors: Chan, Shi Jing, Bayuaji, Luhur, Rosdiyana, Samad, Mahfuzah, Mustafa, Nor Rul Hasma, Abdullah, Zainah, Md. Zain, Pebrianti, Dwi
Format: Conference or Workshop Item
Language:English
Published: AIP Publishing 2017
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/19527/
http://umpir.ump.edu.my/id/eprint/19527/
http://umpir.ump.edu.my/id/eprint/19527/
http://umpir.ump.edu.my/id/eprint/19527/1/fkee-2017-dwi.pdf
id ump-19527
recordtype eprints
spelling ump-195272020-02-21T03:57:48Z http://umpir.ump.edu.my/id/eprint/19527/ Fault Detection and Isolation for Complex System Chan, Shi Jing Bayuaji, Luhur Rosdiyana, Samad Mahfuzah, Mustafa Nor Rul Hasma, Abdullah Zainah, Md. Zain Pebrianti, Dwi TK Electrical engineering. Electronics Nuclear engineering 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. AIP Publishing 2017 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/19527/1/fkee-2017-dwi.pdf 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 https://doi.org/10.1063/1.4993392 doi: 10.1063/1.4993392
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Chan, Shi Jing
Bayuaji, Luhur
Rosdiyana, Samad
Mahfuzah, Mustafa
Nor Rul Hasma, Abdullah
Zainah, Md. Zain
Pebrianti, Dwi
Fault Detection and Isolation for Complex System
description 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.
format Conference or Workshop Item
author Chan, Shi Jing
Bayuaji, Luhur
Rosdiyana, Samad
Mahfuzah, Mustafa
Nor Rul Hasma, Abdullah
Zainah, Md. Zain
Pebrianti, Dwi
author_facet Chan, Shi Jing
Bayuaji, Luhur
Rosdiyana, Samad
Mahfuzah, Mustafa
Nor Rul Hasma, Abdullah
Zainah, Md. Zain
Pebrianti, Dwi
author_sort Chan, Shi Jing
title Fault Detection and Isolation for Complex System
title_short Fault Detection and Isolation for Complex System
title_full Fault Detection and Isolation for Complex System
title_fullStr Fault Detection and Isolation for Complex System
title_full_unstemmed Fault Detection and Isolation for Complex System
title_sort fault detection and isolation for complex system
publisher AIP Publishing
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/19527/
http://umpir.ump.edu.my/id/eprint/19527/
http://umpir.ump.edu.my/id/eprint/19527/
http://umpir.ump.edu.my/id/eprint/19527/1/fkee-2017-dwi.pdf
first_indexed 2023-09-18T22:27:54Z
last_indexed 2023-09-18T22:27:54Z
_version_ 1777416089884426240

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