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Fault Detection using Dynamic Parity Space Approach

This paper review the effectiveness of the parity space approach to identify faults or disturbance in a system. The most commonly used is the observer based procedures, and redundancy relationship method. This involves analytical mathematical analysis of geometry and bilinear algebra. Then, technolo...

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主要な著者: Mohamed Basri, H., Lias, K., Wan Zainal Abidin, W.A, Tay, Kai Meng, Hushairi, Zen
フォーマット: E-Article
言語:English
出版事項: IEEE 2012
主題:
TK Electrical engineering. Electronics Nuclear engineering
オンライン･アクセス:http://ir.unimas.my/id/eprint/16559/1/Fault%20Detection%20Using%20Dynamic%20Parity%20Space%20Approach%20%28abstract%29.pdf
http://ir.unimas.my/id/eprint/16559/
http://ieeexplore.ieee.org/document/6230834/
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record_format eprints
spelling my.unimas.ir.165592017-06-08T06:56:35Z http://ir.unimas.my/id/eprint/16559/ Fault Detection using Dynamic Parity Space Approach Mohamed Basri, H. Lias, K. Wan Zainal Abidin, W.A Tay, Kai Meng Hushairi, Zen TK Electrical engineering. Electronics Nuclear engineering This paper review the effectiveness of the parity space approach to identify faults or disturbance in a system. The most commonly used is the observer based procedures, and redundancy relationship method. This involves analytical mathematical analysis of geometry and bilinear algebra. Then, technological advances which require complex computation such as artificial intelligence and genetic algorithm had made tremendous improvement to fault Detection and Isolation (FDI) analysis. Dynamic Parity Space Approach was studied for a discrete state-space model. Important data will be extracted using this approach especially for residual generation which is the backbones of FDI analysis. Subsequently, at each time instant k, the generated residuals will form a matrix that will define the fault signature. It is remarkable that this approach is proven in this study to be effective in diagnosis and faults isolation. IEEE 2012 E-Article PeerReviewed text en http://ir.unimas.my/id/eprint/16559/1/Fault%20Detection%20Using%20Dynamic%20Parity%20Space%20Approach%20%28abstract%29.pdf Mohamed Basri, H. and Lias, K. and Wan Zainal Abidin, W.A and Tay, Kai Meng and Hushairi, Zen (2012) Fault Detection using Dynamic Parity Space Approach. IEEE International Power Engineering and Optimization Conference (PEDCO) Melaka, Malaysia, 2012. ISSN ISBN: 978-1-4673-0662-1 http://ieeexplore.ieee.org/document/6230834/ DOI: 10.1109/PEOCO.2012.6230834
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mohamed Basri, H.
Lias, K.
Wan Zainal Abidin, W.A
Tay, Kai Meng
Hushairi, Zen
Fault Detection using Dynamic Parity Space Approach
description This paper review the effectiveness of the parity space approach to identify faults or disturbance in a system. The most commonly used is the observer based procedures, and redundancy relationship method. This involves analytical mathematical analysis of geometry and bilinear algebra. Then, technological advances which require complex computation such as artificial intelligence and genetic algorithm had made tremendous improvement to fault Detection and Isolation (FDI) analysis. Dynamic Parity Space Approach was studied for a discrete state-space model. Important data will be extracted using this approach especially for residual generation which is the backbones of FDI analysis. Subsequently, at each time instant k, the generated residuals will form a matrix that will define the fault signature. It is remarkable that this approach is proven in this study to be effective in diagnosis and faults isolation.
format E-Article
author Mohamed Basri, H.
Lias, K.
Wan Zainal Abidin, W.A
Tay, Kai Meng
Hushairi, Zen
author_facet Mohamed Basri, H.
Lias, K.
Wan Zainal Abidin, W.A
Tay, Kai Meng
Hushairi, Zen
author_sort Mohamed Basri, H.
title Fault Detection using Dynamic Parity Space Approach
title_short Fault Detection using Dynamic Parity Space Approach
title_full Fault Detection using Dynamic Parity Space Approach
title_fullStr Fault Detection using Dynamic Parity Space Approach
title_full_unstemmed Fault Detection using Dynamic Parity Space Approach
title_sort fault detection using dynamic parity space approach
publisher IEEE
publishDate 2012
url http://ir.unimas.my/id/eprint/16559/1/Fault%20Detection%20Using%20Dynamic%20Parity%20Space%20Approach%20%28abstract%29.pdf
http://ir.unimas.my/id/eprint/16559/
http://ieeexplore.ieee.org/document/6230834/
_version_ 1644512399392243712
score 13.251813

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