Papers by Keyword: Induction Motor

Abstract: Induction motors are critical components in various industrial applications. Any faults can seriously affect the production system. Therefore, early fault detection is essential to prevent such occurrences. This research aims to develop a fault diagnosis model for induction motors. Raw signal data were obtained experimentally in the laboratory using two identical three-phase induction motors. There are eight different conditions categorized into single-combined faults. 18 features were extracted from each signal, consisting of 12 time-domain features and 6 frequency-domain features. These features were selected using the minimum Redundancy maximum Relevance (mRmR) algorithm. The selected features were then used as input to build a model using the Discriminant Analysis. The results indicate that the Discriminant Analysis model achieved very high accuracy across all condition classes. The computation time of the developed model is exceptionally fast, even below one second. Quadratic Discriminant Analysis (QDA) proved to be more accurate than Linear Discriminant Analysis (LDA) in classifying faults data.

Abstract: Early fault diagnosis is a crucial element in maintaining the optimal operation of rotating machinery and avoiding sudden failure resulting in material and non-material losses. This research aims to select the salient features to diagnose the induction motor faults using an SVM model. The induction motor is simulated experiencing three fault scenarios: single fault, double faults, and multiple faults. These scenarios consist of stator fault, rotor fault, bearing fault, stator-bearing fault, stator-rotor fault, bearing-rotor fault, and stator-bearing-rotor fault. Vibration signals for each of these conditions are collected using an accelerometer sensor with a sampling frequency of 20 kHz. The study utilizes 12 statistical features, comprising 7-time time-domain features, namely mean, standard deviation, kurtosis, RMS, skewness, peak value, crest factor, and 5 frequency domain features, namely mean frequency, median frequency, spectral entropy, power spectral density, and spectral centroid. These features are selected using the ReliefF feature selection algorithm, and the selected features are then employed as classification parameters. The results indicate that the most relevant statistical features used for classification parameters are RMS, Standard Deviation, and Power Spectral Density. Meanwhile, the performance of the Support Vector Machine is excellent for three cases of the induction motor faults. The accuracies for single faults, double faults, and multiple faults are 99%, 100%, and 99% respectively.

Abstract: Overheating have been attributed to the primary problem of continuous running induction motor in the industry. Star-delta control panels are equipped with protection devices against overcurrent and under/over-voltage but are not sufficient for protection against other temperature-producing fault conditions. This study aims to develop and integrate an IoT-based non-intrusive temperature monitoring and control system into a three-phase 30 h.p induction motor controlled by a star-delta panel. A two-stage temperature threshold limit for monitoring and control was setup at 45⁰ C, 60⁰ C below the 85⁰ C maximum operating temperature rating on the motor nameplate. The data entry collected for the two stages are 314 and 88 data points respectively. The results obtained for the two-stage setup showed that the normal operating temperature range between 30⁰ C to 40⁰ C for most of the operating time duration of the induction motor. Temperature anomalies of 45.5⁰ C and 85⁰ C were recorded for the first and second stage setup respectively. Shutdown of the induction motor was recorded for the first stage but not for the second stage which shows that the designed system responds differently to gradual and sudden temperature increase.

Abstract: This research focuses on regulating the speed of a single-phase induction motor in making biopellets from empty palm oil bunches. Bio-pellets are a renewable energy fuel source. Power consumption in induction motors at constant speed is greater and this can cause waste of electrical energy. To overcome this problem, we need a way to save electrical energy, especially in operating electric motors. One effort to save electrical energy when operating an induction motor is to use an inverter. From the research results, it is known that the power of an induction motor operated without using an inverter is 0.610 kW with electrical energy of 0.603 kWh and using an inverter is 0.376 kW with electrical energy of 0.396 kWh. The electrical energy use of a single phase induction motor using an inverter is 0.207 kWh lower than without an inverter with electrical energy savings of 34.32% or Rp. 8,395.92 in one month.

Abstract: In this study, speed control of induction motors was performed as sensorless with Method of Least Square + Scalar Control (MLS+SC) model. For the analysis of method, two other methods SC and PI + SCI were also used and these methods were modeled with Matlab / Simulink software. When compared the simulation results obtained from this method, it is understood that the proposed method is usable.

Abstract: The paper introduces a magnetic flux control algorithm for the minimization of losses in Induction Motor (IM) drives. The proposed methodology accounts for search time delays and IM model deficiencies and has been applied to minimize power losses. The controller is validated on an IM prototype and offers improved transient response.

Abstract: Three dimensional (3–D), finite–element (FE) models and original lumped–parameter networks are developed for the transient thermal analysis of a permanent magnet motor (PMM) and an induction motor (IM) specifically designed and optimized for a demanding aerospace actuation application. A systematic comparison between the two different thermal modeling approaches is carried out using different loading conditions.

Abstract: This paper presents a permanent magnet synchronous serve motor (PMSSM) to replace an induction motor (IM) in the oil hydraulic system in machine tools to drive a pump for supplying the oil. The proposed is designed to meet not only the machine performance, such as higher average torque per volume of magnet usage and the efficiency, and lower torque ripple, but also the energy-saving policy. The motor is optimized using the fuzzy-based Taguchi method. Finally, the proposed motor is installed in the machine tools for measurement, and compared with the tradition machine tools installed with IM.

Abstract: This paper analyzes effects caused by voltage sag types A, B, C and D on induction motor based on experimental test. The effect can be investigated in term the current peaks and speed variation. The magnitudes depend on magnitude of sag and duration, voltage sag types, during and recovery voltage sag. Several of voltage sag characteristics have been conducted in different magnitude, duration and sag types. The results show that the current peaks generated reach more than 4 times of normal current and it was achieved at recovery voltage instant. Sag magnitude has great influence on the current peak but sag duration is not significantly. Type A voltage sag only can cause the motor stop running and it was achieved when it was subjected to sag magnitude of 10% and 6s in duration. The motor stops running in shorter duration when it was subjected to interruption with sag duration of 4s. Therefore voltage sag of type A lead to more severe on induction motor if compared with other sag type. This is according to number of phase that experience sag. The magnitude and duration of voltage sags have influenced significantly on the motor speed only for low sag magnitude and long sag duration.

Abstract: The advantages and shortcomings of three-level voltage source inverters to be applied on locomotive traction electric drives are highlighted in relation to two-level ones. To protect wheels from slipping on rails, the control system is designed. The control system with protection from slipping uses system of direct torque control as the subordinated contour to produce control signals on voltage source inverter. The topology and principles of operation of both protections from slipping and direct torque control of traction induction motor with three-level voltage source inverters are described. The simplified structure of mechanical part of traction drive using basic and axle suspension is considered. The adequacy of designed control system is confirmed by means of Matlab, the results of mathematical modeling show a high convergence with the results of physical model of traction drive.