2017
DOI: 10.1109/tim.2017.2707938
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A Genetic-Algorithm-Optimized Fractal Model to Predict the Constriction Resistance From Surface Roughness Measurements

Abstract: Abstract-The electrical contact resistance greatly influences the thermal behavior of substation connectors and other electrical equipment. During the design stage of such electrical devices it is essential to accurately predict the contact resistance to achieve an optimal thermal behavior, thus ensuring contact stability and extended service life. This paper develops a genetic algorithm (GA) approach to determine the optimal values of the parameters of a fractal model of rough surfaces to accurately predict t… Show more

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Cited by 26 publications
(35 citation statements)
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References 48 publications
(71 reference statements)
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“…In (9) we exploit the fact that the output voltage of the Hall effect sensor is related to the current through (7). So, the phase of the output voltage of Hall effect sensor should be the same as the phase of the current in the conductor or bus bar.…”
Section: A Resistance Measurement In Real-time: Methodsmentioning
confidence: 99%
See 4 more Smart Citations
“…In (9) we exploit the fact that the output voltage of the Hall effect sensor is related to the current through (7). So, the phase of the output voltage of Hall effect sensor should be the same as the phase of the current in the conductor or bus bar.…”
Section: A Resistance Measurement In Real-time: Methodsmentioning
confidence: 99%
“…The contact resistance plays a key role in the efficiency, stable performance and long-term service of electrical connections [7]. Therefore, improved electrical connections require low and stable contact resistance, otherwise overheating and service life reduction are expected [8].…”
Section: DC Resistance Of the Connectormentioning
confidence: 99%
See 3 more Smart Citations