2011 IEEE International Electric Machines &Amp; Drives Conference (IEMDC) 2011
DOI: 10.1109/iemdc.2011.5994831
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Error analysis of efficiency estimation methods for induction motors

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Cited by 6 publications
(5 citation statements)
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“…For a complex system, like an induction motor, the explicit expressions of the derivatives are not available; the influence coefficient of each input variable can be approximated by applying a small perturbation in the corresponding input variable and measuring the change in the output variable [23]. The RPBE method is introduced in [20], [23], and [24] as a technique that improves the results obtained from the WCE. The effects of the individual instrumentation errors are discriminately accounted for according to their corresponding influence coefficient, hence, the estimate of the measurement error is more realistic [23].…”
Section: Error Analysis and Uncertaintymentioning
confidence: 99%
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“…For a complex system, like an induction motor, the explicit expressions of the derivatives are not available; the influence coefficient of each input variable can be approximated by applying a small perturbation in the corresponding input variable and measuring the change in the output variable [23]. The RPBE method is introduced in [20], [23], and [24] as a technique that improves the results obtained from the WCE. The effects of the individual instrumentation errors are discriminately accounted for according to their corresponding influence coefficient, hence, the estimate of the measurement error is more realistic [23].…”
Section: Error Analysis and Uncertaintymentioning
confidence: 99%
“…When all error sources are added up using (58), the overall realistic error in the output variable can be obtained. In order to develop a proper uncertainty study, the actual motor efficiencies must be measured and their accuracies must be guaranteed [20], [23], [24]. In this section, the two techniques (i.e., WCE and RPBE) will be used to investigate the uncertainty of the measured and estimated motor efficiencies.…”
Section: Error Analysis and Uncertaintymentioning
confidence: 99%
“…The second term in (15) has as the noise influence coefficient of the additive noise , which is often neglected to simplify the analysis [23], [24].…”
Section: Error and Sensitivity Analysismentioning
confidence: 99%
“…The expressions of the derivatives in (16) cannot be explicitly determined in an induction motor [23] and [24].…”
Section: Error and Sensitivity Analysismentioning
confidence: 99%
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