Data processing method based on genetic algorithm for assuring maintenance
Prognostics of maintenance costs for electrical fans owned by Trafikverket is performed by using Genetic algorithms.
Researchers: Yamur Aldouri, Jan Lundberg (PL), Hussan Hamodi, Uday Kumar
Sponsor: JVTC
Duration: 2012-2022
Prognostics of maintenance costs for electrical fans owns by Trafikverket is performed by using Genetic algorithms. Comparisons of the prognostic accuracy with traditional trend equations based on historical cost data have been executed. So far the prognostic accuracy of the Genetic algorithms is in some cases outperforming the traditional methods. Other type of data will also be used as input to the Genetic Algorithms.
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