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Description
  • This paper presents a system for detection and classification of power quality (PQ) voltage disturbances. The proposed system applies the following methods to detect and classify the PQ disturbances: digital filtering and mathematical morphology are used to detect and classify transients and waveform distortions, while in case of short and long duration disturbances (such as sags, swells and interruptions) the analysis of the RMS value of the voltage is employed. The decision and classification process is based on disturbances knowledge base of an expert system. The proposed approach identifies the type of the disturbance and its parameters such as time localization, duration and magnitude. The proposed system is suitable for on-line monitoring of the power system and for implementation in a digital signal processor (DSP).
  • This paper presents a system for detection and classification of power quality (PQ) voltage disturbances. The proposed system applies the following methods to detect and classify the PQ disturbances: digital filtering and mathematical morphology are used to detect and classify transients and waveform distortions, while in case of short and long duration disturbances (such as sags, swells and interruptions) the analysis of the RMS value of the voltage is employed. The decision and classification process is based on disturbances knowledge base of an expert system. The proposed approach identifies the type of the disturbance and its parameters such as time localization, duration and magnitude. The proposed system is suitable for on-line monitoring of the power system and for implementation in a digital signal processor (DSP). (en)
  • Příspěvek se zabývá systémem pro detekci a klasifikaci poruch v napájecí síti. (cs)
Title
  • Automated Power Quality Monitoring System for On-line Detection and Classification of Disturbances
  • Vývoj přístroje pro detekci a klasifikaci poruch v reálném čase v jednofázové síti (cs)
  • Automated Power Quality Monitoring System for On-line Detection and Classification of Disturbances (en)
skos:prefLabel
  • Automated Power Quality Monitoring System for On-line Detection and Classification of Disturbances
  • Vývoj přístroje pro detekci a klasifikaci poruch v reálném čase v jednofázové síti (cs)
  • Automated Power Quality Monitoring System for On-line Detection and Classification of Disturbances (en)
skos:notation
  • RIV/68407700:21230/07:03129818!RIV08-MSM-21230___
http://linked.open.../vavai/riv/strany
  • Nečíslováno
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  • S
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http://linked.open...titaPredkladatele
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  • 411111
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/07:03129818
http://linked.open...riv/jazykVysledku
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  • Power quality assessment; disturbance detection (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [C09245D66B22]
http://linked.open...v/mistoKonaniAkce
  • Warsaw
http://linked.open...i/riv/mistoVydani
  • Warsaw
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  • IMTC/2007 IEEE Instrumentation and Measurement Technology Conference Proceedings
http://linked.open...in/vavai/riv/obor
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http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Matz, Václav
  • Radil, T.
  • Serra, A. C.
  • Ramos, P.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE
https://schema.org/isbn
  • 978-1-4244-0588-6
http://localhost/t...ganizacniJednotka
  • 21230
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