Experimental uncertainty in estimation of the losses and efficiency of induction motors

Wenping Cao, K. J. Bradley, H. Zhang, I. French

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

19 Citations (Scopus)

Abstract

This paper presents an analytical study of experimental uncertainties in determining the losses and efficiency of induction motors. Existing testing standards vary in methodology, procedure and required instrumentation accuracy, leading to the possibility of significant differences in experimentally determined efficiency for the same motor tested to the same standard at different test sites as well as differences in the accuracy between different standards. This paper investigates these uncertainties and their respective weighted influence on the losses and efficiency and then proposes a realistic perturbation-based estimation (RPBE) method which incorporates all the significant error sources in finding the overall accuracy of loss and efficiency estimations with regard to the method and instrumentation used. The aim of this paper is to assist in interpretation of measured efficiency data and in guiding mitigation measures to be taken to improve accuracy cost-effectively.

Original languageEnglish
Title of host publicationConference Record of the 2006 IEEE Industry Applications Conference - Forty-First IAS Annual Meeting
Pages441-447
Number of pages7
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event2006 IEEE Industry Applications Conference - Forty-First IAS Annual Meeting - Tampa, FL, United States
Duration: 8 Oct 200612 Oct 2006

Publication series

NameConference Record - IAS Annual Meeting (IEEE Industry Applications Society)
Volume1
ISSN (Print)0197-2618

Conference

Conference2006 IEEE Industry Applications Conference - Forty-First IAS Annual Meeting
Country/TerritoryUnited States
CityTampa, FL
Period8/10/0612/10/06

Keywords

  • Error analysis
  • Induction motors
  • Instrumentation
  • Losses
  • Measurement standards

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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