Abstract—In the present paper, five electric current based methods to analyze electric faults on the stator of induction motors (IM) are used and compared. The analysis tries to extend the application of the multiple reference frames diagnosis technique. An eccentricity indicator is presented to improve the application of the Park’s Vector Approach technique. Most of the fault indicators are va...

Abstract: Quality assessment during dc motor manufacturing should be accomplished by quality controls in order to detect the different fault conditions associated to the components included in the machine. However, some defects can be produced by the automatic manufacturing process during the assembly of the individual components. Among others, inter-turns short-circuit, turn to earth short-cir...

This paper presents a methodology for the detection of broken rotor bar fault and power quality (PQ) disturbances in the supply to induction motor. These faults lead to increase in the temperature and decrease in the efficiency of the induction motor. Wavelet transform is applied to the stator current, for the extraction of the signature of the fault. These wavelet coefficients are fed as input...

Five-phase permanent magnet synchronous motors (PMSMs) have inherent fault-tolerant capabilities. This paper analyzes the detection of inter-turn short circuit faults in five-phase PMSMs in their early stage, i.e. with only one turn in short circuit by means of the analysis of the stator currents and the zero-sequence voltage component (ZSVC) spectra. For this purpose, a parametric model of fiv...

Bearings are one of the critical components which fail often in rotating machinery during operation. Bearing faults in the mechanical system run by an induction motor causes change in its stator current spectrum. It is due to the fact that faults in the bearings cause variations of load irregularities in the magnetic field which in turn change the mutual and self inductance causing side bands a...

Failure of induction motors are a large concern due to its influence over industrial production. Motor current signature analysis (MCSA) is common practice in industry to find motor faults. This paper presents a new approach to detection and diagnosis of motor bearing faults based on induction motor stator current analysis. Tests were performed with three bearing conditions: baseline, outer rac...

Stator Winding Fault can be detected by monitoring any abnormality of the Park’s spectrum. In this paper, a fault-detection performance comparison is presented between the Support Vector Machine (SVM) and backpropagation algorithm (BP) using experimental data for a healthy and faulty case. Support Vector Machine and Back propagation Algorithm provide environments to develop fault-detection sche...

The problem of fault detection of the π-model induction motor with magnetic saturation is considered in this paper. In this paper we use a new technique which is the Adaptive Neuro Fuzzy Inference Systems (ANFIS) technique for online identification of the different motor fault conditions. A simulation study is illustrated using MATLAB simulink depending on stator currents measurement only for o...

In this paper, a complementary and simplified scheme to diagnose electrical faults in three-phase induction motor using the parity equations approach during steady state operation bases on stator current reference frame is presented. The proposed allows us identify phase affected due related side, such as sensors, voltage resistance. results obtained work complement detection system that uses D...

Stator winding faults are one of the most common permanent magnet synchronous motors (PMSMs), and searching for methods to efficiently detect this type fault at an early stage damage is still ongoing, important topic. This paper deals with selected detecting stator (short-circuits) a motor, which based on analysis phase current signal. These were experimentally verified their effectiveness was ...