Vibration Based Broken Bar Detection in Induction Machine for Low Load Conditions

A new method for broken bar detection, based on vibration signal analysis, is presented in this paper. While there are several methods for broken bar detection at low slip based on the current signal analysis, detection based on vibration signals attracts much less attention. In the current paper, d...

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Bibliographic Details
Published inAdvances in Electrical and Computer Engineering Vol. 17; no. 1; pp. 49 - 54
Main Authors MATIC, D., KANOVIC, Z.
Format Journal Article
LanguageEnglish
Published Suceava Stefan cel Mare University of Suceava 01.01.2017
Subjects
Animal behavior
bar
detection
Digital signal processors
Dynamic testing
Electromagnetism
fault
Feature extraction
Frequency ranges
Induction electric motors
Induction motors
Mathematical analysis
Mechanical properties
Methods
motor
Observations
Signal analysis
Signal processing
Slip
Testing
Vibration
Vibration analysis
Vibration measurement
Wavelet transforms
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Summary:A new method for broken bar detection, based on vibration signal analysis, is presented in this paper. While there are several methods for broken bar detection at low slip based on the current signal analysis, detection based on vibration signals attracts much less attention. In the current paper, detection of the broken bar was conducted by observing fault frequency content of the modulus of the analytical vibration signal. A broken bar feature is extracted from low frequency range even for low slip conditions. Although this method is successfully used for broken bar detection based on current signal analysis, it is important to verify the method when vibration signal is measured. Procedure is verified in a real industrial environment for induction motor of 3.15 MW.
Bibliography:ObjectType-Article-1
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content type line 23
ISSN:1582-7445
1844-7600
DOI:10.4316/AECE.2017.01007