scholarly journals The Cluster Computation-Based Hybrid FEM–Analytical Model of Induction Motor for Fault Diagnostics

2020 ◽  
Vol 10 (21) ◽  
pp. 7572 ◽  
Author(s):  
Bilal Asad ◽  
Toomas Vaimann ◽  
Anouar Belahcen ◽  
Ants Kallaste ◽  
Anton Rassõlkin ◽  
...  
Keyword(s):  
Induction Motor ◽  
Analytical Model ◽  
Hybrid Model ◽  
Diagnostic Techniques ◽  
Hybrid Finite Element Method ◽  
Laboratory Setup ◽  
Long Run ◽  
Three Phase ◽  
Cage Induction Motor ◽  
Simulation Time

This paper presents a hybrid finite element method (FEM)–analytical model of a three-phase squirrel cage induction motor solved using parallel processing for reducing the simulation time. The growing development in artificial intelligence (AI) techniques can lead towards more reliable diagnostic algorithms. The biggest challenge for AI techniques is that they need a big amount of data under various conditions to train them. These data are difficult to obtain from the industries because they contain low numbers of possible faulty cases, as well as from laboratories because a limited number of motors can be broken for testing purposes. The only feasible solution is mathematical models, which in the long run can become part of advanced diagnostic techniques. The benefits of analytical and FEM models for their speed and accuracy respectively can be exploited by making a hybrid model. Moreover, the concept of cloud computing can be utilized to reduce the simulation time of the FEM model. In this paper, a hybrid model being solved on multiple processors in a parallel fashion is presented. The results depict that by dividing the rotor steps among several processors working in parallel, the simulation time reduces considerably. The simulation results under healthy and broken rotor bar cases are compared with those taken from a laboratory setup for validation.

scholarly journals Study and analysis the effect of variable applied voltage on SCIM performances based on FEA

2020 ◽  
Vol 11 (3) ◽  
pp. 1230
Author(s):  
Waleed Khalid Shakir Al-Jubori ◽  
Yasir Abdulhafedh Ahmed
Keyword(s):  
Steady State ◽  
Induction Motor ◽  
Applied Voltage ◽  
Supply Voltage ◽  
Finite Elements Analysis ◽  
Steady State Condition ◽  
Squirrel Cage ◽  
Voltage Variation ◽  
Three Phase ◽  
Cage Induction Motor

Study and analysis the effect of variable applied voltage on SCIM performances based on FEA is presented. Three phase squirrel cage induction motor SCIM has been investigated and numerically simulated using finite element method (FEM) with the aid of ANSYS software (RMxprt and Maxwell 2D/3D). This research presents study and analysis of the effects of the voltage variation on performance and efficiency of the three-phase induction motor of the squirrel cage type. The Finite Elements Analysis Method FEA is used as one of the best methods for analysis and simulation of electrical motors in addition to the possibility of dealing with nonlinear equations, Since the induction motor is a complex electromagnetic reaction, the researchers used the ANSYS program to represent and analyze the performance of the motor under variable supply voltage. The case studied in this research is three phases, 380V, 50Hz, 2.2kW, induction motor that widely use in industrial application. The aim of this research is to study the effect of voltage variation on efficiency, current value, power factor and torque of SCIM.  The RMxprt software has been used for modeling and simulating the induction motor and calculating the values of phases currents, input and output power in additional of overall efficiency at steady state condition. The next stage of the research is creating Maxwell 2-D design from the base model of RMxprt software, Maxwell 2-D model has the ability to computing the distribution of magnetic field and explaining the performance under steady-state operation. The obtained results show significant reduction of motor performance due to the effect of variation of apply voltage.

scholarly journals Thermal Study of Three-Phase Squirrel Cage Induction Motor with the Open-Phase Fault Operation Using a Lumped Parameter Network (LPTN)

2021 ◽  
Vol 23 (2) ◽  
pp. 87-94
Author(s):  
Mahdi Atig ◽  
Mustapha Bouheraoua ◽  
Rabah Khaldi
Keyword(s):  
Induction Motor ◽  
Convection Heat Transfer ◽  
Experimental Tests ◽  
Operating Conditions ◽  
Thermal Network ◽  
Squirrel Cage ◽  
Lumped Parameter ◽  
Squirrel Cage Induction Motor ◽  
Three Phase ◽  
Cage Induction Motor

The aim of this paper is to estimate the induction motor temperature at both steady and transient thermal states under healthy and faulty conditions. The distribution of the temperature in the motor is calculated using thermal models based on the 2D Lumped Parameter Thermal Network (LPTN). The thermal model takes into account the heat sources, convection heat transfer and the thermal resistances in the motor. The heat flow generated by the conduction and convection in a three-phase squirrel cage induction motor is discussed. The developed model is used to study the motor thermal behavior during the opening phase situation. The results obtained by the model developed are validated by experimental tests. The tested machine is a standard three-phase, 4-pole, 2.2 kW, 380 V squirrel cage induction motor of Totally Enclosed Fan Cooled “TEFC” design manufactured in Algeria by Electro-Industries company. The simulated temperatures so obtained are in good agreement with the measured ones, and the 2D Lumped Parameter Thermal Network study seems to be appropriate to characterize the heating of the active parts of the machine under different operating conditions.

Model- and Information Theory-Based Diagnostic Method for Induction Motors

2005 ◽  
Vol 128 (3) ◽  
pp. 584-591 ◽  
Author(s):  
Sanghoon Lee ◽  
Michael D. Bryant ◽  
Lalit Karlapalem
Keyword(s):  
Information Theory ◽  
Induction Motor ◽  
Channel Capacity ◽  
Diagnostic System ◽  
Functional Health ◽  
State Equations ◽  
Two Phase ◽  
Squirrel Cage ◽  
Three Phase ◽  
Cage Induction Motor

Introduced is a model-based diagnostic system for motors, that also employs concepts of information theory as a health metric. From an existing bond graph of a squirrel cage induction motor, state equations were extracted and simulations performed. Simulated were various cases, including the response of an ideal motor, which functions perfectly to designer’s specifications, and motors with shorted stator coils, a bad phase capacitor, and broken rotor bars. By constructing an analogy between the motor and a communication channel, Shannon’s theorems of information theory were applied to assess functional health. The principal health metric is the channel capacity, which is based on integrals of signal-to-noise ratios. The channel capacity monotonically reduces with degradation of the system, and appears to be an effective discriminator of motor health and sickness. The method was tested via simulations of a three-phase motor; and for experimental verification, a two-phase induction motor was modeled and tested. The method was able to predict impending functional failure, significantly in advance.

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