Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/29040
Title: Soft computing approach for fault Detection in electrical machines
Researcher: Somasundareswari D
Guide(s): Devarajan N
Keywords: Fuzzy logic
Soft computing
Upload Date: 26-Nov-2014
University: Anna University
Completed Date: 01/11/2007
Abstract: In this thesis the broken rotor bar end ring fault detection schemes newlinefor three phase induction motor are proposed The harmonic components of newlinethe stator current are extracted for fault diagnosis The neural network and newlinefuzzy logic are used to diagnose the faults To improve diagnostic accuracy of newlinefault diagnosis system and to obtain the optimal values of fuzzy membership newlinefunctions genetic algorithm is used The performance of fuzzy fault diagnosis newlinesystem with conventional semi circular and optimized membership functions newlineis compared The bearing fault detection schemes for three phase induction newlinemotor are implemented using neural network and fuzzy logic The technique newlineis based on monitoring the stator current spectrum and speed The harmonic newlinecomponents of stator current spectrum and speed are taken as the inputs for newlineneural network and fuzzy logic fault detectors The performance of neural and newlinefuzzy fault detection schemes is compared in terms of percentage of error newlineThe fuzzy logic based fault detection scheme is implemented in real time The newlineexperimental results are presented newline
Pagination: xx, 149p.
URI: http://hdl.handle.net/10603/29040
Appears in Departments:Faculty of Electrical and Electronics Engineering

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01_title.pdfAttached File12.91 kBAdobe PDFView/Open
02_certificate.pdf5.79 kBAdobe PDFView/Open
03_abstract.pdf7.67 kBAdobe PDFView/Open
04_acknowledgement.pdf6.19 kBAdobe PDFView/Open
05_content.pdf40.84 kBAdobe PDFView/Open
06_chapter1.pdf292.26 kBAdobe PDFView/Open
07_chapter2.pdf952 kBAdobe PDFView/Open
08_chapter3.pdf908.92 kBAdobe PDFView/Open
09_chapter4.pdf128.21 kBAdobe PDFView/Open
10_chapter5.pdf409.09 kBAdobe PDFView/Open
11_chapter6.pdf23.65 kBAdobe PDFView/Open
12_reference.pdf33.21 kBAdobe PDFView/Open
13_publication.pdf9.46 kBAdobe PDFView/Open
14-vitae.pdf5.53 kBAdobe PDFView/Open


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