Abstract :
Notice of Violation of IEEE Publication Principles
"Bearing Damage Detection of the Induction Motors using Current Analysis"
by Irahis Rodriguez and Roberto Alves
in the Proceedings of the IEEE/PES Transmission and Distribution Conference and Exposition, 2006
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 substantial duplication of original text from the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.
Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:
"Models for Bearing Damage Detection in Induction Motors Using Stator Current Monitoring"
by Martin Bloedt, Pierre Granjon, Bertrand Raison, and Gilles Rostating,
in the International Symposium on Industrial Electronics, 2004 (ISIE\´04) Ajaccio, France
This paper deals with the application of CSA for detection of bearing damage on induction motor. Three-phase IM are the "workhorses" of industry and are the most widely used electrical machines. In industrialized nations, 70% of industrial processes use the induction motor. For this reason, detection of incipient motor failures is very important, thereby avoiding production lost and reducing operational costs. The main idea of motor damage detection leads with "motor variables, currents, flux, electric torque and power, variations (in particular the spectrum) with respect to the normal time-varying operating conditions of the motor". MCSA is a noninvasive on line monitoring technique to diagnose faults in three-phase IM by differences detection between fault and normal conditions, in current spectrum.- Experimental tests were realized in IM of small power, and the results will be validated in later works with a representative quantity of motors
Keywords :
condition monitoring; failure analysis; induction motors; machine bearings; bearing damage detection; current analysis; incipient motor failures; induction motors; line monitoring technique; motor variables; normal time-varying operating; three-phase IM; Costs; Electrical products industry; Induction motors; Industrial electronics; Machinery production industries; Monitoring; Notice of Violation; Stators; Torque; Bearing faults; Current Signature Analysis; Diagnostics; Frequency analysis; Motor;
