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Influence of periodic carrier frequency modulation on inverter loss of permanent magnet synchronous motor drive system

Author:
Xu Yongxiang
,
Yuan Qingbing
,
Zou Jibin
,
Wang Hao
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/SAMOS.2014.6893209
URI: http://libsearch.um.ac.ir:80/fum/handle/fum/1086503
Keyword(s): approximation theory,n microprocessor chips,n power aware computing,n power measurement,n CPU temperature/power relationship,n linear approximation,n macrolevel model,n nanometer-scale CPUs,n nanometer-scale application processors,n power consumption,n power management unit,n power measurements,n power requirements,n quadratic model,n system failure rates,n system-on-chips,n temperature 20 C to 85 C,n temperature bias modeling,n temperature-i
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    Influence of periodic carrier frequency modulation on inverter loss of permanent magnet synchronous motor drive system

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contributor authorXu Yongxiang
contributor authorYuan Qingbing
contributor authorZou Jibin
contributor authorWang Hao
date accessioned2020-03-12T22:32:41Z
date available2020-03-12T22:32:41Z
date issued2014
identifier other7013832.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1086503
formatgeneral
languageEnglish
publisherIEEE
titleInfluence of periodic carrier frequency modulation on inverter loss of permanent magnet synchronous motor drive system
typeConference Paper
contenttypeMetadata Only
identifier padid8224188
subject keywordsapproximation theory
subject keywordsn microprocessor chips
subject keywordsn power aware computing
subject keywordsn power measurement
subject keywordsn CPU temperature/power relationship
subject keywordsn linear approximation
subject keywordsn macrolevel model
subject keywordsn nanometer-scale CPUs
subject keywordsn nanometer-scale application processors
subject keywordsn power consumption
subject keywordsn power management unit
subject keywordsn power measurements
subject keywordsn power requirements
subject keywordsn quadratic model
subject keywordsn system failure rates
subject keywordsn system-on-chips
subject keywordsn temperature 20 C to 85 C
subject keywordsn temperature bias modeling
subject keywordsn temperature-i
identifier doi10.1109/SAMOS.2014.6893209
journal titlelectrical Machines and Systems (ICEMS), 2014 17th International Conference on
filesize1197228
citations0
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