Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/301589
Full metadata record
DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2020-09-30T06:34:36Z-
dc.date.available2020-09-30T06:34:36Z-
dc.identifier.urihttp://hdl.handle.net/10603/301589-
dc.description.abstractTransformers are an essential part of the electrical power system because they have the ability to change voltage and current levels, which enables the transformers to generate the electric power, to transmit and distribute electric power and utilize the power at economical and suitable levels. In electrical power system, voltage of electricity generated at the power plant is increased to a higher level with step-up transformers. A higher voltage reduces the energy lost during the transmission process of the electricity. After electricity has been transmitted to various end points of the power grid, voltage of the electricity is reduced to a usable level with step- down transformer for industrial customers and residential customers. Since power transformer is vital equipment in any electrical power system, so any fault in the power transformer may lead to the interruption of the power supply and accordingly, the financial losses will also increase. If an incipient failure of a transformer is detected before it leads to a catastrophic failure, predictive maintenance can be deployed to minimize the risk of failures and further prevent loss of services. To monitor the service ability of power transformer, many devices have been evolved such as buchholz relay, differential relay, over current relay, thermal relay etc. which are part of protection in terms of determination of faults in the transformer. But the main shortcoming of these devices is that they only respond to the severe power failures which require removal of equipment from the service. Even in normal operation, a power transformer is subjected to internal stresses that often, in time affect the performance and reliability of the transformer through the steady breakdown of its insulating materials. These materials include paper and oil. Such insulating materials after being subjected to a variety of stressful conditions that occur in a transformer, have been found to deteriorate, which results in generation of gases which are often combustible or harmful.
dc.format.extent166p.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDevelopment of An Intelligent Novel Algorithm for Transformer Fault Detection Using Various Emission Signals
dc.title.alternative
dc.creator.researcherNagpal, Tapsi
dc.subject.keywordBack propagation
dc.subject.keywordNeural network
dc.subject.keywordPower transformer
dc.description.note
dc.contributor.guideChudasama, B.N. and Brar, Yadwinder Singh
dc.publisher.placePatiala
dc.publisher.universityThapar Institute of Engineering and Technology
dc.publisher.institutionDepartment of Electrical and Instrumentation Engineering
dc.date.registered
dc.date.completed2014
dc.date.awarded
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Electrical and Instrumentation Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File31.56 kBAdobe PDFView/Open
02_certificate.pdf104.68 kBAdobe PDFView/Open
03_declaration.pdf73.74 kBAdobe PDFView/Open
04_acknowledgment.pdf16.3 kBAdobe PDFView/Open
05_abbreviations.pdf69.6 kBAdobe PDFView/Open
06_symbols.pdf61.32 kBAdobe PDFView/Open
07_list of publications.pdf63.56 kBAdobe PDFView/Open
08_abstract.pdf69.94 kBAdobe PDFView/Open
09_contents.pdf103.72 kBAdobe PDFView/Open
10_list of tables.pdf102.24 kBAdobe PDFView/Open
11_list of figures.pdf113.99 kBAdobe PDFView/Open
12_chapter1.pdf370.87 kBAdobe PDFView/Open
13_chapter2.pdf585.58 kBAdobe PDFView/Open
14_chapter3.pdf396.33 kBAdobe PDFView/Open
15_chapter4.pdf599.22 kBAdobe PDFView/Open
16_chapter5.pdf873.57 kBAdobe PDFView/Open
17_references.pdf1.02 MBAdobe PDFView/Open
80_recommendation.pdf255.77 kBAdobe PDFView/Open


Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).

Altmetric Badge: