Rotor Fault Detection in Squirrel Cage Induction Motors using MCSA and DWT Techniques

Abstract

This article presents the fault detection of broken rotor bar (BRB) faults in squirrel cage induction motors (SCIMs). This work applied two diagnostic methods on stator current signal. It is necessary to verify the machine health to avoid any catastrophic damage. The first method uses the fast Fourier transform (FFT) which is generally called motor current signature analysis (MCSA). We carefully verified the spectral content of the stator current to detect BRB fault. The new harmonics allows us to take a good decision about BRB fault. The second method is based on the discrete wavelet transform (DWT). This technique is widely used in the diagnosis field of rotating machinery. According to DWT method, we used the mean square error (MSE) as a good indicator. An experimental test with different conditions of the induction motor has been performed. The experimental results have been exploited using MCSA and DWT methods to achieve a good decision.

Bulletin of the Polish Academy of Sciences: Technical Sciences

“…. (17) Optimization using genetic algorithms was used to determine the values of parameters x 1 to x 4 (GA Toolbox) in the MathWorks/Matlab software environment (Fig. 14).…”

“…Goodwin [16] reviewed the experimental approaches to identify bearing stiffness and damping. Relationships for the calculation of the deformation constant cδ will be mathematically derived after verifying the accuracy of the calculated results from FEM analysis by experimental measurement, using special test equipment for large-dimensional rolling bearings and validate the proposed stiffness determination method by comparing results against published experiments [17].…”

Fault diagnosis of angle grinders and electric impact drills using acoustic signals

“…The authors of the paper conducted analysis and obtained classification accuracy in the range 90−99% [5]. Reference [6] described mechanical fault detection of squirrel cage induction motors. It was based on the Fast Fourier Transform (FFT) of the stator current signal.…”

“…The authors of the paper used the discrete wavelet transform. The MCSA-DWT technique was presented [6]. The authors of the paper presented fault diagnosis using stator current of three-phase induction motor [7].…”

Metrology and Measurement Systems

“…Therefore, FFT based methods are used along with some other methods such as Wavelet [15], Multiple Signal Classification (MUSIC) [16], Artificial Neural Network (ANN) [17], and Artificial Intelligence (AI) methods [18]. A summary of FFT based methods is presented in Table 1 [19][20][21][22][23][24][25][26].…”