Multiresolution Time-Frequency Analysis For Detection And Classification Of Power Quality Disturbances
Power quality is an important issue for developed nations under deregulated power industry where the quality and reliability of power supply is utmost important in daily life. Poor quality is attributed to the various power line disturbances like voltage sag, swell, impulsive and oscillatory transie...
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| Format: | Thesis |
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2009
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| Online Access: | http://shdl.mmu.edu.my/3410/ |
| _version_ | 1848790320227024896 |
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| author | Chilukuri, Venkata Mahendra |
| author_facet | Chilukuri, Venkata Mahendra |
| author_sort | Chilukuri, Venkata Mahendra |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | Power quality is an important issue for developed nations under deregulated power industry where the quality and reliability of power supply is utmost important in daily life. Poor quality is attributed to the various power line disturbances like voltage sag, swell, impulsive and oscillatory transients, multiple notches, momentary interruptions, harmonic and voltage flicker, etc. In order to improve the quality of electrical power it is customary to continuously record the disturbance waveforms using power-monitoring instruments. Unfortunately, most of these recorders rely on visual inspection of data record creating an unprecedented volume of data to be inspected by engineers. |
| first_indexed | 2025-11-14T18:10:44Z |
| format | Thesis |
| id | mmu-3410 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:10:44Z |
| publishDate | 2009 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-34102012-03-23T04:18:52Z http://shdl.mmu.edu.my/3410/ Multiresolution Time-Frequency Analysis For Detection And Classification Of Power Quality Disturbances Chilukuri, Venkata Mahendra TJ Mechanical Engineering and Machinery Power quality is an important issue for developed nations under deregulated power industry where the quality and reliability of power supply is utmost important in daily life. Poor quality is attributed to the various power line disturbances like voltage sag, swell, impulsive and oscillatory transients, multiple notches, momentary interruptions, harmonic and voltage flicker, etc. In order to improve the quality of electrical power it is customary to continuously record the disturbance waveforms using power-monitoring instruments. Unfortunately, most of these recorders rely on visual inspection of data record creating an unprecedented volume of data to be inspected by engineers. 2009-09 Thesis NonPeerReviewed Chilukuri, Venkata Mahendra (2009) Multiresolution Time-Frequency Analysis For Detection And Classification Of Power Quality Disturbances. PhD thesis, University of Multimedia. http://vlib.mmu.edu.my/diglib/login/dlusr/login.php |
| spellingShingle | TJ Mechanical Engineering and Machinery Chilukuri, Venkata Mahendra Multiresolution Time-Frequency Analysis For Detection And Classification Of Power Quality Disturbances |
| title | Multiresolution Time-Frequency Analysis For Detection And Classification Of Power Quality Disturbances |
| title_full | Multiresolution Time-Frequency Analysis For Detection And Classification Of Power Quality Disturbances |
| title_fullStr | Multiresolution Time-Frequency Analysis For Detection And Classification Of Power Quality Disturbances |
| title_full_unstemmed | Multiresolution Time-Frequency Analysis For Detection And Classification Of Power Quality Disturbances |
| title_short | Multiresolution Time-Frequency Analysis For Detection And Classification Of Power Quality Disturbances |
| title_sort | multiresolution time-frequency analysis for detection and classification of power quality disturbances |
| topic | TJ Mechanical Engineering and Machinery |
| url | http://shdl.mmu.edu.my/3410/ http://shdl.mmu.edu.my/3410/ |