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Notice of Violation of IEEE Publication Principles
"Using Current Signature Analysis Technology to Reliably Detect Cage Winding Defects in Squirrel-Cage Induction Motors"
by I.M. Culbert and W. Rhodes
in the IEEE Transactions on Industry Applications, Vol. 43, No. 2, March/April 2007
After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.
This paper contains portions of original text from the papers cited below. The original text was copied without attribution and without permission.
"Development of a Tool to Detect Faults in Induction Motors via Current Signature Analysis",
by M. Fenger, B. A. Lloyd, and W. T. Thomson
in the Proceedings of the IEEE-IAS/PCA Cement Industry Conference, Dallas, TX, May 4-9, 2003, pp. 37-46.
"Case Histories of Rotor Winding fault diagnosis in induction motors",
by W. T. Thomson, and D. Rankin
in the Proceedings of the International Conference on Condition Monitoring, University College of Swansea, March 31-April 3, 1987, pp. 798-819.
This paper will demonstrate, through industrial case histories, the application of current signature analysis (CSA) technology to reliably diagnose rotor winding problems in squirrel-cage motors. Many traditional CSA methods result in false alarms and/or misdiagnosis of healthy machines due to the presence of current components in the broken cage winding frequency domain, which are not the result of such defects. Such components can result from operating conditions, motor design, and drive components such as mechanical load fluctuations, speed-reducing gearboxes, etc. Due to theoretical advancements, it is now possible to predict many of these current components, thus making CSA testing less error prone and therefore a much more reliable technology. Reliable detection of the in- eption of broken cage winding problems, or broken rotor bars, prior to failure allows for remedial actions to be taken to avoid significant costs associated with consequential motor component damage and unplanned downtime associated with such in-service failures