Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/29845
Title: Fault identification and analysis Using AI TECHNIQUES for three tank System and deaerator
Researcher: Srinivasan S
Guide(s): Kanagasabapathy P
Keywords: AI techniques
Fault diagnosis
Upload Date: 3-Dec-2014
University: Anna University
Completed Date: 01/09/2007
Abstract: A fault can be defined as an unexpected change or malfunction in a newlineSystem although it may not lead to any physical failure or breakdown A newlinesupervision system should be used to detect and identify the fault and its newlineseverity Research work in the area of fault diagnosis is on the rise due to newlineincreasing demand for reliability operational safety and environmental newlineprotection particularly for safety critical systems such as chemical processes newlinenuclear plants and aircraft If the severity of the fault increases then the newlineconsequences can be extremely serious in terms of human life environmental newlineimpact and or economic loss newlineA fault diagnosis system for on line application must provide newlineguaranteed response with its severity so that a quick decision can be taken newlineeither for periodic maintenance if the severity of the fault is less or an newlineimmediate shut down if the severity is more In this thesis a model based newlinefault diagnosis in a deaerator system has been attempted using Artificial newlineIntelligence AI techniques The presented framework is structurally divided newlineinto fault detection and fault diagnosis that combine qualitative and newlinequantitative detection of fault The significance of the proposed method is the newlineability of diagnosis system which indicates the occurrence of single and newlinedouble fault along with severity newline newline
Pagination: xix, 175p.
URI: http://hdl.handle.net/10603/29845
Appears in Departments:Faculty of Electrical and Electronics Engineering

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01_title.pdfAttached File40.62 kBAdobe PDFView/Open
02_certificate.pdf5.83 kBAdobe PDFView/Open
03_abstract.pdf9.13 kBAdobe PDFView/Open
04_acknowledgement.pdf6.73 kBAdobe PDFView/Open
05_content.pdf31.99 kBAdobe PDFView/Open
06_chapter1.pdf70.66 kBAdobe PDFView/Open
07_chapter2.pdf119.36 kBAdobe PDFView/Open
08_chapter3.pdf349.52 kBAdobe PDFView/Open
09_chapter4.pdf453.43 kBAdobe PDFView/Open
10_chapter5.pdf183.33 kBAdobe PDFView/Open
11_chapter6.pdf578.06 kBAdobe PDFView/Open
12_chapter7.pdf23.9 kBAdobe PDFView/Open
13_appendix.pdf395.57 kBAdobe PDFView/Open
14_reference.pdf40.28 kBAdobe PDFView/Open
15_publication.pdf8.46 kBAdobe PDFView/Open
16_vitae.pdf5.72 kBAdobe PDFView/Open


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