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Fault detection, accomodation and isolation for paper mill industrial control

Instrument fault in industries is an interruption to industries production and maintenance. Its cause loses of production and time. As industries growing faster and rapidly, there are a need of method to detect the fault of instrument before its can disturb the production of industries. Conventional...

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Main Author: Apasamy, Prem Kumar
Format: Thesis
Language:English
Published: 2007
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/4447/1/PremKumarApasamyMFKE2007.pdf
http://eprints.utm.my/id/eprint/4447/
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spelling my.utm.44472018-01-28T08:04:45Z http://eprints.utm.my/id/eprint/4447/ Fault detection, accomodation and isolation for paper mill industrial control Apasamy, Prem Kumar TK Electrical engineering. Electronics Nuclear engineering Instrument fault in industries is an interruption to industries production and maintenance. Its cause loses of production and time. As industries growing faster and rapidly, there are a need of method to detect the fault of instrument before its can disturb the production of industries. Conventional technique such as Predictive Maintenance and Run to Fail not did not give much room in term of predictability of instrument fault. Many study and research done on the fault detection technique and new technique Artificial Intelligent technique (AI) application in fault detection be come one of major studies in research. Using the parameter and variable from process and instruments, AI can be constructed and applied to view the reliability of the AI technique in the fault detection method. The predictability of AI will be measure as performance indicator of fault detection. 2007-05-10 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/4447/1/PremKumarApasamyMFKE2007.pdf Apasamy, Prem Kumar (2007) Fault detection, accomodation and isolation for paper mill industrial control. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Apasamy, Prem Kumar
Fault detection, accomodation and isolation for paper mill industrial control
description Instrument fault in industries is an interruption to industries production and maintenance. Its cause loses of production and time. As industries growing faster and rapidly, there are a need of method to detect the fault of instrument before its can disturb the production of industries. Conventional technique such as Predictive Maintenance and Run to Fail not did not give much room in term of predictability of instrument fault. Many study and research done on the fault detection technique and new technique Artificial Intelligent technique (AI) application in fault detection be come one of major studies in research. Using the parameter and variable from process and instruments, AI can be constructed and applied to view the reliability of the AI technique in the fault detection method. The predictability of AI will be measure as performance indicator of fault detection.
format Thesis
author Apasamy, Prem Kumar
author_facet Apasamy, Prem Kumar
author_sort Apasamy, Prem Kumar
title Fault detection, accomodation and isolation for paper mill industrial control
title_short Fault detection, accomodation and isolation for paper mill industrial control
title_full Fault detection, accomodation and isolation for paper mill industrial control
title_fullStr Fault detection, accomodation and isolation for paper mill industrial control
title_full_unstemmed Fault detection, accomodation and isolation for paper mill industrial control
title_sort fault detection, accomodation and isolation for paper mill industrial control
publishDate 2007
url http://eprints.utm.my/id/eprint/4447/1/PremKumarApasamyMFKE2007.pdf
http://eprints.utm.my/id/eprint/4447/
_version_ 1643644057961889792
score 13.211869

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