Prediction of internal temperature in stator winding of three-phase induction motors with ann

Noğay, Hidir

doi:10.1002/etep.420

Cited by 15 publications

(10 citation statements)

References 17 publications

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“…7 for learning step. These coefficient shows that target and ANN output values were very related each other [18]. Also in Table 4, performance of the ANN system is illustrated.…”

Section: Testing the Networkmentioning

confidence: 95%

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Determination of optimum operation cases in electric arc welding machine using neural network

2011

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With arc welding machines, welding is only performed at optimum operating points. Determination of optimum operating points is important so as for welding machines which will be produced in future to be developed in a manner to operate in such parts. In this study, an Artificial Neutral Networks method was used in order to determine the optimum operating points of Electric Arc welding machine. For this purpose, a measurement system used to get the current measurements during the welding operation. A welding process includes some stages like initial case; transient case and operation case respectively. So as to use ANN model, a data set was established via time series. ANN is trained with 90% of data set and tested with 10% thereof. At the end of the test, a prediction of 97.49% was made according to the regression value. And according to the MSE value, it was understood that a successful prediction was made with an error of 0.00353075 values.

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“…7 for learning step. These coefficient shows that target and ANN output values were very related each other [18]. Also in Table 4, performance of the ANN system is illustrated.…”

Section: Testing the Networkmentioning

confidence: 95%

“…Output summary of data set. showed that the optimal number of neurons in the hidden layer can be chosen as 35 also, the activation function has been chosen as a hyperbolic tangent sigmoid function for all of the layers [18].…”

Section: Selecting the Ann Architecturementioning

confidence: 99%

Determination of optimum operation cases in electric arc welding machine using neural network

2011

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“…In this section investigative studies are conducted on the performance of the split air conditioner under distinct operational conditions, each of which reflecting the type of disturbance typically manifest, under the terms foreseen in current legislation and which regulates the question of energy quality indicators [22,23]. As usual, the studies include, for the same condition for the voltage supply, to obtain information to correlate and validate the results derived from the simulations with their counterparts extracted from laboratory tests.…”

Section: Performance Testsmentioning

confidence: 99%

A Proposal for the Time Domain Modeling of Split Air Conditioners for Consumer Reimbursement Studies

Rezende¹,

Almeida²,

Gondim

et al. 2015

International Journal of Emerging Electric Power Systems

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This paper deals with computer application procedures for the evaluation of the causal consistency between anomalous phenomena manifested in electrical networks, along with the physical damage associated with electrical equipment and possible reimbursement requests. The focus is on the development of an air conditioner appliance model of the type known as split founded upon a representation, in the time domain, in accordance with the Alternative Transients Program (ATP) simulator requirements. This approach permits investigations concerning the performance of the product when submitted to ideal and non-ideal supply conditions. Once the equipment model is implemented in the program, a set of investigative studies are carried out to show the device performance under specific energy quality disturbance conditions. In addition, there are still the results for the validation of the process established through the correlation between computational performance of the air conditioner with corresponding studies carried out experimentally, which are presented herein. Moreover, once the effectiveness of the developed model is verified, it is implemented into the Requests for Reimbursement Software. Investigations related to the correlation between disturbances and the levels of thermal and dielectric tolerance are then performed aiming at illustrating the use of the research results for the reimbursement analyzes purposes.

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“…Therefore, in the process of the motor design, the temperature limits should be calculated and checked for satisfying the requirements of functionality and safe. If the operating temperature exceeds the insulation material working limit of the motor [1], it will cause an accelerated aging effect or even failure of insulation [2,3], and then machine life expectance can be seriously affected [4]. Accordingly, it is vital to plot the thermal map of the electric machine, working in the most severe condition.…”

Section: Introductionmentioning

confidence: 99%

Coupled Fluid-Thermal Analysis for Induction Motors with Broken Bars Operating under the Rated Load

et al. 2018

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Thermal stress of the rotor in a squirrel cage induction motor is generated due to the temperature rise, it is also one of the factors causing the broken bar fault because the structure of the rotor would be destroyed if the stress of the rotor bars exceed the strength limit. The coupled fluid-thermal analysis for the induction motor with healthy and broken bar rotors is performed in this paper. Much concern has been committed to establishment of the fluid model on the basis of computational fluid dynamic (CFD) theory. The heat field of the prototypes is analysed so that the effect of the asymmetrical rotor on the motor heat performance can be investigated in depth. Eventually, the efficiency of the presented model and method, for the totally enclosed fan cooled (TEFC) induction motor, can be verified through experimental results. In addition, this paper reports a quantitative analysis of the heat flux distribution of the fault rotor, and the heat flux density of the bars is investigated in detail. Then, the part most likely to break in the rotor as a result of the thermal load is identified.

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Prediction of internal temperature in stator winding of three-phase induction motors with ann

Cited by 15 publications

References 17 publications

Determination of optimum operation cases in electric arc welding machine using neural network

Determination of optimum operation cases in electric arc welding machine using neural network

A Proposal for the Time Domain Modeling of Split Air Conditioners for Consumer Reimbursement Studies

Coupled Fluid-Thermal Analysis for Induction Motors with Broken Bars Operating under the Rated Load

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