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IJERT-EMS

Determination Of Misalignment Using Motor Current Signature Analysis In Rotating Machine


Determination Of Misalignment Using Motor Current  Signature Analysis In Rotating Machine
Authors : K. VENKATA SIVARAO, G. DIWAKAR, Dr. M. R. S. SATYNARAYANA
Publication Date: 29-10-2012

Authors

Author(s):  K. VENKATA SIVARAO, G. DIWAKAR, Dr. M. R. S. SATYNARAYANA

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Vol.1 - Issue 8 (October - 2012)

e-ISSN:   2278-0181

Abstract

Misalignment is one of the predominant failure of rotating machines driven by induction motors .there are several methods for identifying the misalignment vibration monitoring, acoustic noise measurements ,temperature monitoring etc. Motor current signature analysis is used recently in determine the faults in rotating machines. It is based on signal analysis of motor current obtained via regular current transformer used for motor protection purposes. This paper inspects the misaligned motor and machine shafts by using diagnostic medium such as current, frequency and instantaneous power signal. Misalignments in machines can cause decrease in efficiency and in the long-run it may cause catastrophic failure because of unnecessary vibration, stress on motor & bearings and short-circuiting in stator and rotor windings. The measurements have been taken from no load to full load for detecting the misaligned motor and machine shaft performed at full-load to detect the misaligned motors by considered the fault frequencies characteristics using current, flux and instantaneous power spectrums. Experimental study demonstrates that current increases with increase of load since that misalignment is also one type of load on motor that progression of current is high in misalignment position .Mat lab software is used for generating spectrum .By the analysis of current spectrum fault frequency components (f1fr) from the flux spectrum are more helpful for the purpose of detecting misalignment in machines as compared to any other side band components of fault frequencies of current and instantaneous power signals.

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