Faults Classification Scheme for Three Phase Induction Motor

Abstract

In every kind of industrial application, the operation of fault detection and diagnosis for induction motors is of paramount importance. Fault diagnosis and detection led to minimize the downtime and improves its reliability and availability of the systems. In this article, a fault classification algorithm based on a robust linear discrimination scheme, for the case of a squirrel–cage three phase induction motor, will be presented. The suggested scheme is based on a novel feature extraction mechanism from the measured magnitude and phase of current park's vector pattern. The proposed classification algorithm is applied to detect of two kinds of induction machine faults, which area) broken rotor bar, and b) short circuit in stator winding. The novel feature generation technique is able to transform the problem of fault detection and diagnosis into a simpler space, where direct robust linear discrimination can be applied for solving the classification problem. And thus a clear classification of the healthy and the faulty cases can be robustly performed, by having the optimal hyper plane. This method can separate the feature current classes in a low dimensional subspace. Robust linear discrimination has been one of the most widely used fault detection methods in real-life applications, as this methodology seeks for directions that are efficient for discrimination and at the same time applies a straight-forward implementation. The efficacy of the proposed scheme will be evaluated based on multiple simulation results in different fault types.

Sensorless Control of Induction Motor Based on Differential Flatness Theory and Reduced MRAS Observer

“…(Salima, Loubna, & Riad, 2018) present a global stability and robust nonlinear controller applied to induction motor. (Mustafa, Nikolakopoulos, & Gustafsson, 2014) present a fault classification algorithm based on a robust linear discrimination scheme, this technique is applied to detect of two kinds of Induction motor faults (broken rotor bar and short circuit in stator winding) in (Nazemi, Gallehdar, Haghjoo, & Cruz, 2021) the authors present a new sensitive fault detection criterion is proposed, based on the stationary wavelet transform (SWT) decomposition components of the stator currents in objective is, the detection of stator faults in line-connected and inverter-fed motors . Despite all these studies, we didn't manage to replace the speed sensor exactly mainly during in the load's application.…”

Self-Correcting Virtual Current Sensor Based on the Modified Luenberger Observer for Fault-Tolerant Induction Motor Drive

“…Particularly noteworthy is the fact that, especially in the powertrains of different transportation vehicles, apart from synchronous motors with permanent magnets (PMSM), they are an alternative to gasoline engines, due to their much lower mechanical complexity (thus greater reliability), higher efficiency, low cost, and no emission of harmful substances during operation. Despite the above advantages, it should be remembered that damage can also occur in the IM, among which the most common are those related to bearings, stator windings, and a rotor [1]. In addition, ensuring precise speed control of the IM requires the use of complex vector control techniques, such as direct torque control (DTC) or direct field-oriented control (DFOC) [2,3].…”

Bulletin of the Polish Academy of Sciences: Technical Sciences

“…However, due to the operating conditions or random events, various types of damage may occur in IM drive systems. Failures may be related to the motor [1], voltage inverter [2][3][4] (e.g. damage to the IGBT transistors [5,6]), but also to measuring equipment [7][8][9][10][11], such as resolvers [12], encoders [13][14][15][16][17], sensors for measuring currents and voltages [8,14,15,18].…”