Proceedings of the 2003 Bipolar/BiCMOS Circuits and Technology Meeting (IEEE Cat. No.03CH37440)
DOI: 10.1109/pac.2003.1289088
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Power supply performance monitoring and analysis using operation data

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Cited by 2 publications
(3 citation statements)
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“…Into research area can be found other approaches for performing analyzes for power consumption of electrical energy: Analysis, modeling and design of energy management and multisource power systems, Predicting future hourly residential electrical consumption: A machine learning case study, Multiple regression models to predict the annual energy consumption in the Spanish banking sector, using pattern recognition to identify habitual behavior in residential electricity consumption, accurate quantitative estimation of energy performance of residential buildings using statistical machine learning tools, Performance analyses for DC power supplies, energy performance analyses for a Photovoltaic/Diesel/Battery hybrid power supply system, analyzes of the performance degradation caused by noise in power supply lines, models of battery, power electronic converter, and electric motor losses related to a typical 48 s track driving schedule and a datadriven approach for minimization of the energy to air condition a typical office-type facility [16][17][18][19][20][21][22][23][24][25][26][27].…”
Section: Existing Models For Analyzes Of Power Consumption Of Electrimentioning
confidence: 99%
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“…Into research area can be found other approaches for performing analyzes for power consumption of electrical energy: Analysis, modeling and design of energy management and multisource power systems, Predicting future hourly residential electrical consumption: A machine learning case study, Multiple regression models to predict the annual energy consumption in the Spanish banking sector, using pattern recognition to identify habitual behavior in residential electricity consumption, accurate quantitative estimation of energy performance of residential buildings using statistical machine learning tools, Performance analyses for DC power supplies, energy performance analyses for a Photovoltaic/Diesel/Battery hybrid power supply system, analyzes of the performance degradation caused by noise in power supply lines, models of battery, power electronic converter, and electric motor losses related to a typical 48 s track driving schedule and a datadriven approach for minimization of the energy to air condition a typical office-type facility [16][17][18][19][20][21][22][23][24][25][26][27].…”
Section: Existing Models For Analyzes Of Power Consumption Of Electrimentioning
confidence: 99%
“…There are several type of DC power supplies in Duke FEL storage ring. The performance data of power supplies can be collected in a non-interruptive manner by an EPICS archive or by a MATLAB program regarding the research prepared by Duke University, Durham, USA [17]. MATLAB based tools have been developed to analyze the power supply data collected during the operation.…”
Section: Terminology Explanationmentioning
confidence: 99%
“…Since this error does not directly impact accelerator performance, the modules are still in use. The limitations of the readback are kept in mind, particularly with regards to our operational power supply performance monitoring program [2].…”
Section: Transient Sign Errormentioning
confidence: 99%