scholarly journals The Application of the Bispectrum Analysis to Detect the Rotor Unbalance of the Induction Motor Supplied by the Mains and Frequency Converter

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 3009
Author(s):  
Pawel Ewert
Keyword(s):  
Spectral Analysis ◽  
Fourier Transform ◽  
Induction Motor ◽  
Induction Motors ◽  
Frequency Converter ◽  
Experimental Tests ◽  
Test Mass ◽  
Mechanical Vibrations ◽  
Stator Current

This article presents the effectiveness of bispectrum analysis for the detection of the rotor unbalance of an induction motor supplied by the mains and a frequency converter. Two diagnostic signals were analyzed, as well as the stator current and mechanical vibrations of the tested motors. The experimental tests were realized for two low-power induction motors, with one and two pole pairs, respectively. The unbalance was modeled using a test mass mounted on a specially prepared disc and directly on the rotor and the influence of this unbalance location was tested and discussed. The results of the bispectrum analysis are compared with results of Fourier transform and the effectiveness of unbalance detection are discussed and compared. The influence of the registration time of the analyzed signal on the quality of fault symptom analyses using both transforms was also tested. It is shown that the bispectrum analysis provides an increased number of fault symptoms in comparison with the classical spectral analysis as well as it is not sensitive to a shorter registration time of the diagnostic signals.

scholarly journals Effects of the Slot Harmonics on the Stator Current in an Induction Motor with Bearing Fault

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Xiangjin Song ◽  
Jingtao Hu ◽  
Hongyu Zhu ◽  
Jilong Zhang
Keyword(s):  
Induction Motor ◽  
Analytical Approach ◽  
Induction Motors ◽  
Experimental Tests ◽  
Fault Models ◽  
Popular Method ◽  
Bearing Faults ◽  
Bearing Fault ◽  
Stator Current ◽  
Theoretical Inference

Bearing faults are the most frequent faults of induction motors. The current spectrum analysis is an easy and popular method for the monitoring and detection of bearing faults. After a presentation of the existing fault models, this paper illustrates an analytical approach to evaluate the effects of the slot harmonics on the stator current in an induction motor with bearing fault. Simple and clear theoretical analysis results in some new current characteristic frequencies. Experimental tests with artificial bearing outer raceway fault are carried out by measuring stator current signals. The experimental results by spectral analysis of the stator current agree well with the theoretical inference.

A Comparative Study of PWM Techniques for Multiphase Induction Motor Drives

2018 ◽  
Vol 19 (5) ◽  
Author(s):  
Mo. Suhel A. Shaikh ◽  
Rakesh Maurya
Keyword(s):  
Induction Motor ◽  
Induction Motors ◽  
Harmonic Distortion ◽  
Motor Drives ◽  
Current Waveform ◽  
Induction Motor Drives ◽  
Distortion Factor ◽  
Stator Current ◽  
Three Phase

Abstract This paper deals with the performance analysis of different PWM techniques for three-phase and dual three-phase induction motors. In this paper, the dual three-phase induction motor is reconnected as a three-phase and six-phase winding configurations and its performances are investigated. The comparative evaluation for the aforesaid machine configurations are carried out in terms of quality of stator current waveform with different PWM techniques. Total harmonic distortion are obtained in terms of harmonic distortion factor for stator current. The theoretical findings are further verified through simulation and experimental results.

scholarly journals Automatic Temperature Regulation System of Locomotive Traction Induction Motors With Power Losses Minimization

2015 ◽  
Vol 9 (1) ◽  
Author(s):  
A. S. Kosmodamianskiy ◽  
V. I. Vorobiev ◽  
A. A. Pugachev
Keyword(s):  
Induction Motor ◽  
Temperature Regulation ◽  
Induction Motors ◽  
Frequency Converter ◽  
Operating Mode ◽  
Regulation System ◽  
Air Cooling ◽  
Power Losses ◽  
Automatic Temperature ◽  
Stator Current

The air cooling systems are shown to be used to provide required temperature condition of traction induction motors on locomotives. The automatic temperature regulation system is developed for its using to solve such a task. Results of experimental investigation showed that the AO63-4 induction motor stator end winding on the side opposite to air supply is the most heated part of the induction motor. Based on the results of the research, it was used an aperiodic second-order transfer function for approximation of the thermal transient curves. The design of an induction motor control system maintaining operating mode with minimum of the stator current are considered. It is shown that the modes of minimum of the stator current and minimum of power losses are quite close to each other. The MatLab simulation results taking typical nonlinearities and iron power losses in an induction motor and conduction and commutation power losses in semiconductors of frequency converter into account are presented. It is shown that as a result of application of the suggested system the power losses reduction may be led up to 20 % relatively to classical scalar control.

scholarly journals Results of the experimental investigationof thermal processes in induction motor.

2015 ◽  
Vol 2015 (3) ◽  
pp. 77-82
Author(s):  
Александр Пугачев ◽  
Aleksandr Pugachev ◽  
Денис Бондаренко ◽  
Denis Bondarenko
Keyword(s):  
Induction Motor ◽  
Induction Motors ◽  
Frequency Converter ◽  
Physical Models ◽  
Thermal Processes ◽  
Rotor Speed ◽  
Current Frequency ◽  
Electric Drives ◽  
Stator Current ◽  
Heating And Cooling

The adequacy of researches of characteristics of the traction electric drives with an induction motors by means of scaled physical models is proved by application of two induction motors, 380 and 14 kW. The system of data acquisition and sensors applied to it is described. The technique and results of experimental investigation of thermal processes of heating and cooling in the 14 kW induction motor fed by frequency converter with scalar control and IR-compensation under the low values of the stator current frequency and rotor speed are presented. The rotor bars of the induction motor are determined to be most stressed by overheating under the stator current frequency closed to null, the stator winding becomes the most overheated unit of the induction motor under higher values of the stator current frequency.

scholarly journals The Effects of Damage to the Outer Race Bearing on the Efficiency of the Induction Motor Using Fast Fourier Transform (FFT) Method

2021 ◽  
Vol 5 (1) ◽  
pp. 103-115
Author(s):  
Sulaiman Isfar ◽  
Iradiratu Diah Prahmana Karyatanti ◽  
Belly Yan Dewantara
Keyword(s):  
Fourier Transform ◽  
Fast Fourier Transform ◽  
Induction Motor ◽  
Induction Motors ◽  
Industrial Applications ◽  
Harmonic Amplitude ◽  
Outer Race ◽  
Stator Current ◽  
Motor Component ◽  
Bearing Damage

Bearing is an induction motor component that helps the rotor to move freely, in industrial applications it is important to maintain bearing performance in induction motors. In its use, bearing damage is one of the biggest types of damage that is often found in induction motors. Bearing damage can lead to increased vibration, increased noise, increased working temperature, and decreased efficiency. Efficiency reduction can be used as information on the condition of the motor so that this information can be used to detect damage before more serious damage occurs. This research discusses the stator current analysis method and the efficiency of damage to the motor through two harmonic amplitude ratios equipped with the fast Fourier transform (FFT) algorithm in detecting damage to the outer race bearing. It is hoped that this efficiency can be used as an evaluation of the extent to which motor energy waste occurs before more severe damage. The efficiency results on the damage to the outer race bearing using the FFT method get the highest efficiency value of 1.47 and the lowest value of 0.66.

scholarly journals Broken Rotor Bars Fault Detection Based on Envelope Analysis Spectrum and Neural Network in Induction Motors

2018 ◽  
Vol 3 (3) ◽  
pp. 106-116
Author(s):  
Saddam BENSAOUCHA ◽  
Sid Ahmed BESSEDIK ◽  
Aissa AMEUR ◽  
Abdellatif SEGHIOUR
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Fourier Transform ◽  
Induction Motors ◽  
Current Signal ◽  
Broken Rotor Bars ◽  
Stator Current ◽  
The Neural Networks ◽  
Modulus Spectrum ◽  
Load Conditions

In this paper, a study has presented the performance of a neural networks technique to detect the broken rotor bars (BRBs) fault in induction motors (IMs). In this context, the fast Fourier transform (FFT) applied on Hilbert modulus obtained via the stator current signal has been used as a diagnostic signal to replace the FFT classic, the characteristics frequency are selected from the Hilbert modulus spectrum, in addition, the different load conditions are used as three inputs data for the neural networks. The efficiency of the proposed method is verified by simulation in MATLAB environment.

scholarly journals Application of Self-Organizing Neural Networks to Electrical Fault Classification in Induction Motors

2019 ◽  
Vol 9 (4) ◽  
pp. 616 ◽  
Author(s):  
Maciej Skowron ◽  
Marcin Wolkiewicz ◽  
Teresa Orlowska-Kowalska ◽  
Czeslaw Kowalski
Keyword(s):  
Neural Networks ◽  
Induction Motors ◽  
Processing System ◽  
Experimental Tests ◽  
Fault Classification ◽  
Stator Current ◽  
Short Circuits ◽  
Rotor Winding ◽  
Torque Values ◽  
Self Organizing

Electrical winding faults, namely stator short-circuits and rotor bar damage, in total constitute around 50% of all faults of induction motors (IMs) applied in variable speed drives (VSD). In particular, the short circuits of stator windings are recognized as one of the most difficult failures to detect because their detection makes sense only at the initial stage of the damage. Well-known symptoms of stator and rotor winding failures can be visible in the stator current spectra; however, the detection and classification of motor windings faults usually require the knowledge of human experts. Nowadays, artificial intelligence methods are also used in fault recognition. This paper presents the results of experimental research on the application of the stator current symptoms of the converter-fed induction motor drive to electrical fault detection and classification using Kohonen neural networks. The experimental tests of a diagnostic setup based on a virtual measurement and data pre-processing system, designed in LabView, are described. It has been shown that the developed neural detectors and classifiers based on self-organizing Kohonen maps, trained with the instantaneous symmetrical components of the stator current spectra (ISCA), enable automatic distinguishing between the stator and rotor winding faults for supplying various voltage frequencies and load torque values.

scholarly journals Performance and Analysis of Indirect Torque Control-Based Three-Phase Induction Motor

ELKHA ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 122
Author(s):  
Andri Pradipta ◽  
Santi Triwijaya ◽  
Mohamad Ridwan
Keyword(s):  
Control System ◽  
Induction Motor ◽  
Induction Motors ◽  
Control Method ◽  
Torque Control ◽  
Stator Current ◽  
Speed Controller ◽  
Three Phase ◽  
20 Nm ◽  
Speed Response

Induction motors are widely used in industrial processes, vehicles and automation. Three-phase induction motors can be used for traction systems on electric locomotives. In this case, the speed control system is an important thing that must be applied to the propulsion system. This study aimed to test the indirect torque control for a Three-phase induction motor. A proportional integral (PI) controller was applied for speed controller. The indirect torque control system was modeled and simulated using PSIM software. According to the result, the control method showed a good performance. The speed could be maintained even the speed reference was changing or a load was applied. The steady state error of the speed response was just 0.1% with rise time around 0.06 s. The stator current went up to 39.5 A in starting condition. The stator current reached 12 A rms when the load of 10 Nm was applied. Then, the current rose to 15.7 A rms when the load was increased to 40 Nm and the current came down to 12.8 A rms when the load was decreased to 20 Nm.

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.

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