Elegant data mining techniques for optimal features and parameters selection applicable to power quality data
| dc.contributor.guide | Selvi, K | en_US |
| dc.coverage.spatial | Information and Communication Engineering | en_US |
| dc.creator.researcher | Manimala, K | en_US |
| dc.date.accessioned | 2014-09-09T11:58:06Z | |
| dc.date.available | 2014-09-09T11:58:06Z | |
| dc.date.awarded | 30/10/2011 | en_US |
| dc.date.completed | 01/10/2011 | en_US |
| dc.date.issued | 2014-09-09 | |
| dc.date.registered | n.d. | en_US |
| dc.description.abstract | Power Quality PQ is becoming an important issue as the increase newlinein electricity use continues The PQ of a power signal is generally regarded as newlinethe relative deviations from an acceptable signal in terms of voltage current newlineand frequency Degradation in quality of electric power is normally caused newlineby powerline disturbances such as voltage sag swell momentary newlineinterruption harmonic distortion flicker notch spike and transients causing newlineproblems such as malfunctions instabilities short lifetime failure of electrical newlineequipments and so on Even one cycle interruption will make a silicon device newlineworthless and one second of power outage makes ecommerce sites lose newlinemillions of dollars worth business Thus, there is a definite power quality newlineproblem which needs to be solved to reduce the losses to industry and newlineconsumers newline newline | en_US |
| dc.description.note | Reference p.193-200,Appendix 190-192 | en_US |
| dc.format.accompanyingmaterial | None | en_US |
| dc.format.dimensions | 23cm | en_US |
| dc.format.extent | xxii,203p. | en_US |
| dc.identifier.uri | http://hdl.handle.net/10603/24843 | |
| dc.language | English | en_US |
| dc.publisher.institution | Faculty of Information and Communication Engineering | en_US |
| dc.publisher.place | Chennai | en_US |
| dc.publisher.university | Anna University | en_US |
| dc.relation | - | en_US |
| dc.rights | university | en_US |
| dc.source.university | University | en_US |
| dc.subject.keyword | Elegant data | en_US |
| dc.subject.keyword | information and communication engineering | en_US |
| dc.subject.keyword | mining techniques | en_US |
| dc.title | Elegant data mining techniques for optimal features and parameters selection applicable to power quality data | en_US |
| dc.title.alternative | - | en_US |
| dc.type.degree | Ph.D. | en_US |
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