Online Detection of Rotor Eccentricity in Squirrel Cage Induction Motors

DEE Group Author; João Francisco Alves Martins

Online Detection of Rotor Eccentricity in Squirrel Cage Induction Motors

DEE Group Author, João Francisco Alves Martins

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Squirrel cage induction motors are the most common electric machines employed in industrial environments. Periodic online condition monitoring should be performed for early electrical and mechanical fault detection, thus preventing further deterioration of the machine in case a fault is present. Motor current signature analysis is usually used for online fault detection and different algorithms that fall in this category have recently been proposed. In this paper, the spectrum of the RMS value of the stator current is used to detect the presence of rotor static eccentricity.

Original language	Unknown
Title of host publication	IMEKO TC4 Symp
Pages	1-5
Publication status	Published - 1 Jan 2011
Event	Proc IMEKO TC4 18th Symp - Duration: 1 Jan 2011 → …

Conference

Conference	Proc IMEKO TC4 18th Symp
Period	1/01/11 → …

Cite this

@inproceedings{c76c4f5b424f4589bd2dce70f7b28bb4,

title = "Online Detection of Rotor Eccentricity in Squirrel Cage Induction Motors",

abstract = "Squirrel cage induction motors are the most common electric machines employed in industrial environments. Periodic online condition monitoring should be performed for early electrical and mechanical fault detection, thus preventing further deterioration of the machine in case a fault is present. Motor current signature analysis is usually used for online fault detection and different algorithms that fall in this category have recently been proposed. In this paper, the spectrum of the RMS value of the stator current is used to detect the presence of rotor static eccentricity.",

author = "{DEE Group Author} and Martins, {Jo{\~a}o Francisco Alves}",

year = "2011",

month = jan,

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language = "Unknown",

pages = "1--5",

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note = "null ; Conference date: 01-01-2011",

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TY - GEN

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AU - DEE Group Author

AU - Martins, João Francisco Alves

PY - 2011/1/1

Y1 - 2011/1/1

N2 - Squirrel cage induction motors are the most common electric machines employed in industrial environments. Periodic online condition monitoring should be performed for early electrical and mechanical fault detection, thus preventing further deterioration of the machine in case a fault is present. Motor current signature analysis is usually used for online fault detection and different algorithms that fall in this category have recently been proposed. In this paper, the spectrum of the RMS value of the stator current is used to detect the presence of rotor static eccentricity.

AB - Squirrel cage induction motors are the most common electric machines employed in industrial environments. Periodic online condition monitoring should be performed for early electrical and mechanical fault detection, thus preventing further deterioration of the machine in case a fault is present. Motor current signature analysis is usually used for online fault detection and different algorithms that fall in this category have recently been proposed. In this paper, the spectrum of the RMS value of the stator current is used to detect the presence of rotor static eccentricity.

M3 - Conference contribution

SP - 1

EP - 5

BT - IMEKO TC4 Symp

Y2 - 1 January 2011

ER -