Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/24721
Title: Intelligent techniques for fault diagnosis of pneumatic valve
Researcher: Kannapiran, B
Guide(s): Subbaraj, P
Keywords: Autoassociative neural network
Fault diagnosis
Fuzzy logic
Information and communication engineering
Pneumatic valve
process industry
Upload Date: 8-Sep-2014
University: Anna University
Completed Date: 01/11/2011
Abstract: The detection and diagnosis of faults in technical plants is of great practical significance and paramount importance for the safe operation of the plant The early detection of fault can help avoid system breakdown and catastrophe involving human fatalities and material damage Usually the technical personnel are assigned the job of monitoring the plant for the safe operation They may require to monitor a number of variables to identify the abnormal conditions Since the operator cannot monitor all variables simultaneously an automated approach is needed for the real time monitoring and diagnosis of the system newlineIn process industry there is a crucial need for checking and monitoring the equipment condition precisely since they are mostly subject to hazardous environments such as severe shocks vibration heat friction dust etc The problem of detecting faults in pneumatic valve used in cooler water spray system in cement industry is strategically important because of its various implications like avoiding major plant breakdowns and catastrophes This thesis explores the application of intelligent techniques like Fuzzy logic Neural networks and Neuro fuzzy system for fault diagnosis of pneumatic valve newline
Pagination: xxii,210p.
URI: http://hdl.handle.net/10603/24721
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File127.82 kBAdobe PDFView/Open
02_certificates.pdf2.22 MBAdobe PDFView/Open
03_abstract.pdf11.64 kBAdobe PDFView/Open
04_acknowledgement.pdf6.02 kBAdobe PDFView/Open
05_contents.pdf30.29 kBAdobe PDFView/Open
06_chapter1.pdf69.6 kBAdobe PDFView/Open
07_chapter2.pdf34.75 kBAdobe PDFView/Open
08_chapter3.pdf78 kBAdobe PDFView/Open
09_chapter4.pdf1.59 MBAdobe PDFView/Open
10_chapter5.pdf307.17 kBAdobe PDFView/Open
11_chapter6.pdf179.59 kBAdobe PDFView/Open
12_chapter7.pdf16.48 kBAdobe PDFView/Open
13_appendix.pdf1.09 MBAdobe PDFView/Open
14_references.pdf45.69 kBAdobe PDFView/Open
15_publications.pdf7.28 kBAdobe PDFView/Open
16_vitae.pdf5.63 kBAdobe PDFView/Open


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