Simulation and experimental study of induction motor broken rotor bars fault diagnosis using stator current spectrogram

The characteristics of broken rotor bars in induction motors are reflected in the abnormal harmonic of the stator current. At present, fast Fourier transform( ) and time-varying frequency spectrum analysis method are used in such fault diagnosis, but non-stationary motors operation can bring a certain difficulties to the monitoring and diagnosis. This paper studies the basic characteristics of wavelet transform, adopting the wavelet analysis technologies of signal processing and selecting mother wavelet, the paper makes the multi-scale transformation to the motor starting current, excavates the harmonic informations on non-stationary condition, realizes fault diagnosis of motor broken rotor bars effectively, The consistent diagnostic results prove the effectiveness of the method.

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Fault Diagnosis in Induction Motor Using Motor’s Residual Stator Current Signature Analysis

Lecture Notes in Mechanical Engineering - Advances in Condition Monitoring of Machinery in Non-Stationary Operations ◽

10.1007/978-3-642-39348-8_54 ◽

2013 ◽

pp. 631-643

Author(s):

Khalid Dahi ◽

Soumia Elhani ◽

Said Guedira ◽

Nabil Ngote

Keyword(s):

Fault Diagnosis ◽

Induction Motor ◽

Signature Analysis ◽

Stator Current ◽

Current Signature

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Online mechanical fault diagnosis of induction motor by wavelet artificial neural network using stator current

2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies and Industrial Opportunities (Cat. No.00CH37141) ◽

10.1109/iecon.2000.972290 ◽

2002 ◽

Cited By ~ 1

Author(s):

Zhongming Ye ◽

Bin Wu ◽

N. Zargari

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Fault Diagnosis ◽

Induction Motor ◽

Stator Current ◽

Artificial Neural

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Bearing Fault Diagnostic of Induction Motor by Stator Currents Analysis Based on Park’s Vectors Approach

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.698.83 ◽

2014 ◽

Vol 698 ◽

pp. 83-89 ◽

Cited By ~ 1

Author(s):

Nail Safin ◽

Vladimir Prakht ◽

Vladimir Dmitrievskii

Keyword(s):

Fault Diagnosis ◽

Early Detection ◽

Induction Motor ◽

Induction Motors ◽

Bearing Fault ◽

Bearing Fault Diagnosis ◽

Stator Current ◽

Bearing Defects ◽

Bearing Damage ◽

Vector Approach

This paper deals with the possibilities of bearing fault diagnosis of induction motors by stator currents analysis based on Park’s vector approach. The main theoretical aspects, the experimental results and their analysis are presented. It is shown that preventive stator current diagnostics of induction motors based on Park’s vector allows us early detection of bearing defects in the inner and outer races. The current spectra additional harmonics appearing in the case of bearing damage are found.

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