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On quick-change detection based on process adaptive modelling and identification

Author:
Aiordachioaie, D.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/PLASMA.2014.7012297
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/996527
Keyword(s): electrodes,pulsed power switches,spark gaps,electrode erosion characteristics,failure prediction,high-power repetitive two-electrode spark-gap switch,pulsed power system,Atmospheric modeling,Electrodes,Power system stability,Predictive models,Switches,Switching circuits,Voltage measurement
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    On quick-change detection based on process adaptive modelling and identification

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contributor authorAiordachioaie, D.
date accessioned2020-03-12T19:57:21Z
date available2020-03-12T19:57:21Z
date issued2014
identifier other6842422.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/996527
formatgeneral
languageEnglish
publisherIEEE
titleOn quick-change detection based on process adaptive modelling and identification
typeConference Paper
contenttypeMetadata Only
identifier padid8116265
subject keywordselectrodes
subject keywordspulsed power switches
subject keywordsspark gaps
subject keywordselectrode erosion characteristics
subject keywordsfailure prediction
subject keywordshigh-power repetitive two-electrode spark-gap switch
subject keywordspulsed power system
subject keywordsAtmospheric modeling
subject keywordsElectrodes
subject keywordsPower system stability
subject keywordsPredictive models
subject keywordsSwitches
subject keywordsSwitching circuits
subject keywordsVoltage measurement
identifier doi10.1109/PLASMA.2014.7012297
journal titleevelopment and Application Systems (DAS), 2014 International Conference on
filesize599601
citations0
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