Application of new quantitative and qualitative study based on DWT method to diagnose the eccentricity fault in induction motors

The present paper presents the fault detection of eccentricity using a new qualitative (and quantitative) analysis which based on discrete wavelet transform (DWT) technique. DWT method was based on analyzing the stator current. DWT coefficients of the stator current in a particular frequency band are calculated and analyzed. We used the wavelet mother of Daubechies to analyze the stator current under the eccentricity fault. But, the DWT cannot precise the type of fault. This proposes strategy based on one numerical value (Mean square error) which eliminates the vision to signals shape. This new study treats the experimental results were analyzed for induction motors under the eccentricity fault.

• induction motor
• rotor eccentricity
• fault diagnosis
• discrete wavelet transform
• stator current
• Daubechies wavelet
• mean squared error

• Machine Fault Diagnosis Techniques
• Electric Motor Design and Analysis
• Sensorless Control of Electric Motors
• induction motor
• rotor eccentricity
• fault diagnosis
• discrete wavelet transform
• stator current
• Daubechies wavelet
• mean squared error
• Control and Systems Engineering
• Electrical and Electronic Engineering
• Engineering