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The aim of the present paper is to diagnose the mechanical faults in induction motors. We have chosen this part in order to contribute to the diagnosis of electrical machines. The raising of stator current allows detecting the fatigue of the machine failure. The manner of the treatment decides the efficiency of the applied technique. We have examined the static eccentricity fault by a vibration signal...
This paper presents a new precise vision to diagnose the eccentricity fault using the motor current signature analysis technique (MCSA). The MCSA method was based on analyzing the FFT of the stator current. But, it has many disadvantages, as operating regimes (non-stationary) or his suffering to distingue the characteristic frequencies of several faults such as short circuit, eccentricity, broken...
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 failure rate of rotor bars is high, which causes large area of broken conducting bars, shortening the lifetime of motors. Therefore, the diagnosis of broken rotor fault diagnosis is of great importance. First, the mathematical model of induction motors is presented, and the internal and external magnetic field boundary conditions are defined. Second, frequency domain analysis method is combined...
The three-phase induction motor is one of the most employed equipment in industrial premisses. Despite of its reliability and robustness, these machines can present faults due to the operation time, harsh operating conditions, voltage unbalance, among other factors. In this work, a methodology for intelligent diagnose of multiple faults in induction motors by using a discretization of currents and...
This paper presents a comprehensive research study on the nature of selected stator and rotor fault of Induction Motor. In this article a mathematical model and a Matlab/ Simulink based simulation model is developed and simulation results for stator and rotor faults of induction motors are presented. Experimental evaluation of harmonics and negative sequence component (measure of unbalance) of stator...
Electrical and mechanical faults in a three phase Induction machine is modelled and analysed, to identify potential fault signatures. Electrical, magnetic and torque signatures are analysed for various faults and their combinations, for potential fault signature identification. A multi-physics Finite Element tool is chosen for this analysis considering the possibilities to extend the study to thermal...
The fault detection of squirrel cage induction motors due to its importance in the industry has become a highly developed area of interest for researchers. Typically, the electrical machine is designed for stable operation with minimum noise and vibrations under normal conditions. When the fault emerges, some additional distortions appear. The necessity to detect the fault of an electrical motor in...
The development of condition monitoring strategies is necessary to ensure the efficiency and reliability of the operation on electric machines. The feature calculation is an important signal processing step used to obtain a characterization related to the working condition of machinery. In order to address this issue, this work proposes a diagnosis methodology based on the calculation of a statistical-time...
A line-to-line short circuit fault of a stator is one of come faults in the real working process of single cage induction motors. Therefore, studying the electromagnetic field and electromagnetic force after faults is of great importance. In this paper, the transient mathematical theory model of the line-to-line faults of squirrel cage induction motors was presented, and the two dimensional field...
In this paper, the fault diagnosis problem for induction motor is studied on the basis of multiple-model estimation approach. Considering the time-varying parameters of motor with the changes of motor operation, a multiple model is proposed for induction motor with rotor broken bar fault. The corresponding Kalman filters are used to estimate the state under the random noise for each model. Based on...
Broken rotor bar fault in induction motors significantly affects the motor dynamic performance and increases the mechanical oscillations in torque and speed. Motor current signature analysis has widely been used to detect such fault, yet it has some shortcomings due to motor topology, stator winding and load type dependencies. In this paper, radial leakage flux which contains most critical fault related...
The knowledge of Broken Rotor Bars (BRB) fault characteristic frequencies and amplitudes is an absolute must in the diagnosis of Squirrel Cage Induction Machine (SCIM). In order to deal with these problems, a numerical simulation model is usually implemented. In fact, some companies use modelling and simulation technique for designing, developing and diagnosis their new product. This paper presents...
This paper presents three interesting methods that are widely used in the diagnosis of electrical machines. Today, many researchers use a technique to detect the faults which may cause the induction machines. The choice of one method over the other is essentially depends on its effectiveness, ease of use and speed. Early detection of faults is a valuable advantage. Our new study is to investigate...
Inter-turn insulation failure in induction motor results in complete or developing winding short circuit. Stator winding fault leads to an unbalance in the three phases of the motor leading to a faulty induction motor with increased time and space harmonics of flux. This can lead to uneven distribution of air gap flux and increase in torque ripple. The condition is worsened due to an unbalance in...
Faults in any power system are the outcome of an undesirable and unexpected set of conditions that have taken place in the system. They have a major impact on all the dependent equipments or machines and adversely affect their performance. The effect of fault on the efficiency helps in the early detection of the fault, even before the severeness of the fault has reached the level that enables relays...
Currently, many techniques based on steady state analysis have been applied to diagnosis of the AC machines. In this paper, it will be shown how the Park vector analysis can improve inter-turn faults detection. While the fault detection become easy by using the thickness and the shape of the Park vector. The simulation and experimental results confirm largely the effectiveness of the proposed technique.
Fault diagnostic index is a quantity which is sensed or calculated in order to diagnose and quantify the extent of fault. With increasing use of closed loop drives in industrial applications, online fault diagnosis has become a critical requirement. This paper focusses on exploring the average error in torque as a fault diagnostic index in field-oriented-controlled induction motor drives with stator...
This paper proposes a new analytical model for mechanical fault detection in induction motors. Rolling bearing fault has an important percentage compared to others. Most research works focus on rolling bearing faults analysis, the originality of our study relies on the preparation of a new simulated model under rolling bearing faults. First of all, the calculation of the mutual inductances between...
The electrical motor condition monitoring is a growing technology to detect the fault of an induction motor. It detects the unexpected faults of a critical system. Definite harmonic signals of the line current are located by a popular method known as motor current signature analysis. Different faults of an induction motor such as rotor, stator, bearing, vibration, air gap eccentricity and their different...
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