scholarly journals Application of Genetic Algorithm for Inter-Turn Short Circuit Detection in Stator Winding of Induction Motor

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8523
Author(s):  
Marcin Tomczyk ◽  
Ryszard Mielnik ◽  
Anna Plichta ◽  
Iwona Gołdasz ◽  
Maciej Sułowicz
Keyword(s):  
Genetic Algorithm ◽  
Induction Motor ◽  
Diagnostic Method ◽  
Induction Motors ◽  
Short Circuit ◽  
Experimental Tests ◽  
Stator Winding ◽  
Short Circuits ◽  
Cage Induction Motor ◽  
Industry Conditions

This paper presents a new method of inter-turn short-circuit detection in cage induction motors. The method is based on experimental data recorded during load changes. Measured signals were analyzed using a genetic algorithm. This algorithm was next used in the diagnostics procedure. The correctness of fault detection was verified during experimental tests for various configurations of inter-turn short-circuits. The tests were run for several relevant diagnostic signals that contain symptoms of faults in an examined cage induction motor. The proposed algorithm of inter-turn short-circuit detection for various levels of winding damage and for various loads of the examined motor allows one to state the usefulness of this diagnostic method in normal industry conditions of motor exploitation.

scholarly journals Diagnosis of Short-circuits in Induction Motor Stator Winding Using a Modified Park Transformation

2020 ◽  
Vol 5 (1) ◽  
pp. 123-133
Author(s):  
Grzegorz Tarchała ◽  
Marcin Wolkiewicz ◽  
Mateusz Krzysztofiak
Keyword(s):  
Induction Motor ◽  
Diagnostic Method ◽  
Short Circuit ◽  
Motor Drives ◽  
Stator Winding ◽  
Induction Motor Drives ◽  
On Line ◽  
Short Circuits ◽  
Park Transformation ◽  
Fft Analysis

AbstractThis paper deals with a novel diagnostic method for finding the stator winding short-circuit damage of induction motor drives. The proposed method is based on a new, simple idea of applying a modified, triple Park transform instead of using a computationally demanding on-line Fast Fourier Transform (FFT) analysis. The diagnostic method is based on the analysis of current and reference voltage vector components, which are the part of the Direct Field Oriented Control structure. The proposed method is verified experimentally using tests results. Further, the influence of speed, load torque and the parameters of PI regulators on the performance of the proposed diagnostic method are also discussed.

scholarly journals An analysis of inter-bar currents on a polyphase cage induction motor

2004 ◽  
Vol 15 (4) ◽  
pp. 476-484
Author(s):  
Renato Carlson ◽  
Cláudia A. da Silva ◽  
Nelson Sadowski ◽  
Michel Lajoie-Mazenc
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Induction Motor ◽  
Induction Motors ◽  
Short Circuit ◽  
Fundamental Component ◽  
Cage Induction Motor ◽  
Element Method

This work uses a methodology based on 2D-Finite Element Method (FEM) and on the Circuits Theory (Independent Currents Method) to analyze the inter-bar currents on the rotor of cage induction motors. The Multi-Slice Technique is used to consider the skewing effect. Three conditions are considered: one inter-bar resistance, two inter-bar resistances and three inter-bar resistances. The results show the distribution of currents in the rotor bars, short-circuit rings and transversal resistances at a given time. The fundamental component of the inter-bar and surrounding bar currents are shown to help understanding the phenomenon.

scholarly journals Identification of Inter-Turn Short-Circuits in Induction Motor Stator Winding Using Simulated Annealing

Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 117
Author(s):  
Marcin Tomczyk ◽  
Ryszard Mielnik ◽  
Anna Plichta ◽  
Iwona Goldasz ◽  
Maciej Sułowicz
Keyword(s):  
Simulated Annealing ◽  
Induction Motor ◽  
Induction Motors ◽  
Early Stage ◽  
Dynamic Properties ◽  
Short Circuit ◽  
State Variables ◽  
Novel Approach ◽  
Short Circuits ◽  
Identification Processes

This paper presents a method of inter-turn short-circuit identification in induction motors during load current variations based on a hybrid analytic approach that combines the genetic algorithm and simulated annealing. With this approach, the essence of the method relies on determining the reference matrices and calculating the distance between the reference matric values and the test matrix. As a whole, it is a novel approach to the process of identifying faults in induction motors. Moreover, applying a discrete optimization algorithm to search for alternative solutions makes it possible to obtain the true minimal values of the matrices in the identification process. The effectiveness of the applied method in the monitoring and identification processes of the inter-turn short-circuit in the early stage of its creation was confirmed in tests carried out for several significant state variables describing physical magnitudes of the selected induction motor model. The need for identification of a particular fault is related to a gradual increase in its magnitude in the process of the induction motor’s exploitation. The occurrence of short-circuits complicates the dynamic properties of the measured diagnostic signals of the system to a great extent.

scholarly journals Determining an additional diagnostic parameter for improving the accuracy of assessment of the condition of stator windings in an induction motor

2021 ◽  
Vol 5 (5 (113)) ◽  
pp. 21-29
Author(s):  
Oleg Gubarevych ◽  
Sergey Goolak ◽  
Olena Daki ◽  
Yuriy Yakusevych
Keyword(s):  
Induction Motor ◽  
Induction Motors ◽  
Short Circuit ◽  
Rotation Frequency ◽  
Additional Parameter ◽  
Stator Winding ◽  
Diagnostic Parameter ◽  
Stator Windings ◽  
Shaft Rotation ◽  
Additional Diagnostic Parameter

This paper has proposed and substantiated the application of an additional diagnostic parameter for assessing the state of stator windings of induction motors during operation. The dependences of the values of phase shifts between phase currents and phase voltages have been obtained. These dependences showed that when an inter-turn short circuit occurs in the stator windings, the phase shifts are the same for all phases of the motor. That has made it possible to obtain the dependence of the change in phase shift on the change in the engine shaft rotation frequency. This study's result has established the dependence of the rates of change of the phase angle on the engine shaft rotation frequency for both one and two damaged phases with varying degrees of damage. When analyzing these dependences, it was found that with an increase in the number of damaged phases of the electric motor, the linear section of the dependences decreases. In addition, with an increase in the degree of phase damage, the angle of inclination of the linear sections of the characteristics decreases. That has made it possible to determine an additional parameter for diagnosing the place and degree of an inter-turn short circuit of the windings in an induction motor with a squirrel-cage rotor. The values of the additional parameter, termed by this paper's authors as a "phase criterion" can be used to assess the condition and degree of damage to the stator winding of induction motors. The values of the phase criteria for various types of damage were: when phase A is damaged by 90 %, ξ=0.634, (deg)2/(rpm)2; when phase A is damaged by 80 %, ξ=0.393, (deg)2/(rpm)2; when phase A is damaged by 80 % and phase B is damaged by 90 %, ξ=0.25, (deg)2/(rpm)2; when phase A is damaged by 80 % and phase B is damaged by 90 %, ξ=0.173, (deg)2/(rpm)2. The results of this research could be used to select an effective method for diagnosing an inter-turn short circuit in the stator winding when building a diagnostic system for induction motors as part of drives of transport equipment

Simulation of Voltage on Stator Winding Terminals of Induction Motor with Impaired Short-Circuit Winding of Rotor

2015 ◽  
Vol 792 ◽  
pp. 155-159
Author(s):  
Alexander Novozhilov ◽  
Alexandra Potapenko
Keyword(s):  
Induction Motor ◽  
Induction Motors ◽  
Short Circuit ◽  
Stator Winding

The paper is presented the method of simulation of voltage on the stator winding terminals of induction motor with impaired short-circuit winding of rotor in the running-out mode. This method allows to simulate processes in induction motors with precision to satisfy the requirements of protection equipment.

scholarly journals Diagnostic Modelling for Induction Motor Faults via ANFIS Algorithm and DWT-Based Feature Extraction

2021 ◽  
Vol 11 (19) ◽  
pp. 9115
Author(s):  
Menshawy A. Mohamed ◽  
Mohamed A. Moustafa Hassan ◽  
Fahad Albalawi ◽  
Sherif S. M. Ghoneim ◽  
Ziad M. Ali ◽  
...  
Keyword(s):  
Induction Motor ◽  
Fuzzy Inference ◽  
Short Circuit ◽  
Experimental Tests ◽  
Discrete Wavelet ◽  
Data Sets ◽  
Inference System ◽  
Stator Current ◽  
Set Up ◽  
Cage Induction Motor

This paper proposes an Adaptive Neural Fuzzy Inference System (ANFIS) model for diagnosis of combined Inter Turn Short Circuit (ITSC) and Broken Rotor Bar (BRB) faults in a Squirrel Cage Induction Motor (SC-IM). The signal of the stator current is obtained from a really healthy and faulty SC-IM. Experimental tests have been set up using a 1.5 Hp/380 V three-phase SC-IM with different combined ITSC and BRB faults under different loading conditions. Before entering the model, the Discrete Wavelet Transform (DWT) pre-processes the stator current signal. The DWT generates data sets in order to evaluate the proposed technique. ANFIS based on DWT is used successfully to diagnose the most relevant faults very effectively. In addition, ANFIS based on the DWT method has been compared to ANFIS and ANFIS based on an auto-regressive model, finding that the proposed method achieves higher efficiency than the previous one. The proposed ANFIS based on the DWT model classifies entirely different states of combined ITSC and BRB faults with high accuracy.

scholarly journals Detection of Stator Winding Short Circuit Faults Through Magnetic Fields In Induction Motors

2021 ◽  
Vol 5 (1) ◽  
pp. 89-102
Author(s):  
Bima Rachmat Ah Ro Ufun ◽  
Iradiratu Diah Prahmana Karyatanti ◽  
Belly Yan Dewantara
Keyword(s):  
Fourier Transform ◽  
Fast Fourier Transform ◽  
Induction Motor ◽  
Induction Motors ◽  
Short Circuit ◽  
Stator Winding ◽  
Transform Method ◽  
Average Percentage ◽  
Fast Fourier Transform Method ◽  
Short Circuit Fault

In applications in the industrial world, the use of induction motors has been widely used in operation because induction motors have many advantages, although they have many advantages, induction motors themselves also have disadvantages, namely having high starting currents. In many cases the damage to the induction motor, the damage to the stator due to a short circuit, is a frequent failure, this damage can cause considerable losses because the motor can stop operation So this research will discuss about the detection of short circuit faults in the stator winding through leaky flux using a flux sensor that is placed outside the motor and placed radially and using the Fast Fourier Transform (FFT) method. Damage to the short circuit is done by reconstructing the stator winding of the induction motor. There are two variations of short circuit damage, namely short circuit winding 1 to winding 3 and short circuit winding 2 to winding 10 on an induction motor. The short circuit data is then processed using the Fast Fourier Transform method which produces data in the form of voltage to frequency. The results of the percentage of success of short circuit fault detection seen from the loaders have an average percentage of 50%, at no load conditions can detect short circuit faults by 100%. In conditions of short circuit interruption 1-3 has a success percentage of 30% and short circuit fault 2-10 by 70%. The existence of this system is expected to be able to anticipate any damage that can cause considerable and fatal losses.

scholarly journals Modified Rotor Flux Estimators for Stator-Fault-Tolerant Vector Controlled Induction Motor Drives

Energies ◽  
2019 ◽  
Vol 12 (17) ◽  
pp. 3232 ◽  
Author(s):  
Mateusz Dybkowski ◽  
Szymon Antoni Bednarz
Keyword(s):  
Induction Motor ◽  
Fault Tolerant ◽  
Short Circuit ◽  
Experimental Tests ◽  
Point Of View ◽  
Stable Operation ◽  
Stator Winding ◽  
Classical State ◽  
Rotor Flux ◽  
Rotor Flux Estimators

This paper deals with fault-tolerant control (FTC) of an induction motor (IM) drive. An inter-turn short circuit (ITSC) of the stator windings was taken into consideration, which is one of the most common internal faults of induction machines. The sensitivity of the classic, well-known voltage and current models to the stator winding faults was analyzed. It has been shown that these classical state variable estimators are sensitive to induction motor parameter changes during stator winding failure, which results in unstable operation of the direct field-oriented control (DFOC) drive. From a safety-critical applications point of view, it is vital to guarantee stable operation of the drive even during faults of the machine. Therefore, a new FTC system has been proposed, which consists of new modified rotor flux estimators, robust to stator winding faults. A detailed description of the proposed system is presented herein, as well as the results of simulation and experimental tests. Simulation analyses were performed using MATLAB/Simulink software. Experimental tests were carried out on the experimental test bench with a dSpace DS1103 card. The proposed solution could be applied as an alternative rotor flux estimation technique for the modern FTC drive.

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