Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/33610
Title: Robust and time efficient data mining Techniques for power disturbance Classification
Researcher: Krishna B V
Guide(s): Baskaran K
Keywords: Electrical power to operate devices
Power Quality
Upload Date: 6-Feb-2015
University: Anna University
Completed Date: 01/03/2014
Abstract: Power Quality PQ is an umbrella term encompassing the study of newlinedeviations in current and voltage waveforms from ideal sine waves and newlinedetermines the fitness of electrical power to operate devices The deterioration newlineof power quality is caused by disturbances leading to failure or newlinemalfunctioning of electrical equipments The first step in the PQ evaluation newlineprocedure is to detect and classify the type of PQ disturbance such as sags newlineharmonics and transients Automatic classification of PQ disturbances newlinenecessitates the use of data mining techniques newlineTo maintain power quality numerous PQ meters have been newlineinstalled in modern power grids and this has caused a data deluge Adoption newlineof data mining techniques will aid in digging out relevant PQ information newlinefrom this huge data on an as required basis The objective of the proposed newlinework is to interface power systems and data mining by way of application of newlinedata mining techniques to PQ disturbance classification newline newline
Pagination: xxviii, 227p.
URI: http://hdl.handle.net/10603/33610
Appears in Departments:Faculty of Information and Communication Engineering

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03_abstract.pdf19.22 kBAdobe PDFView/Open
04_acknowledgement.pdf5.83 kBAdobe PDFView/Open
05_content.pdf63.75 kBAdobe PDFView/Open
06_chapter1.pdf162.59 kBAdobe PDFView/Open
07_chapter2.pdf2.18 MBAdobe PDFView/Open
08_chapter3.pdf807.06 kBAdobe PDFView/Open
09_chapter4.pdf256.43 kBAdobe PDFView/Open
10_chapter5.pdf75.78 kBAdobe PDFView/Open
11_chapter6.pdf63.28 kBAdobe PDFView/Open
12_chapter7.pdf95.57 kBAdobe PDFView/Open
13_reference.pdf51.36 kBAdobe PDFView/Open
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