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- W2363167015 abstract "Aiming to the predictive maintenance decision of complicated equipment, of which state could be monitored at discrete time and the fault showed gradual failure, a new method based on artificial immune particle swarm optimization algorithm was presented. First, the basic conditions of maintenance decision was analyzed, which included presupposition of subject investigated, decision content, remaining maintenance time, and maintenance cost. Second, the maintenance decision problem was transformed to an object function with the characteristics constraints which sought a minimum, and then its mathematical model was built. Third, the mode was solved by artificial immune particle swarm optimization algorithm,which had the advantages of ability to maintain diversity of the immune system and specific directional search of particle swarm algorithm. Finally, the application in a certain aerial electromechanical device validated the method was available to solve the predictive maintenance decision of complicated equipment, and the results were consistent with practical situation." @default.
- W2363167015 created "2016-06-24" @default.
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- W2363167015 date "2015-01-01" @default.
- W2363167015 modified "2023-09-23" @default.
- W2363167015 title "Predictive Maintenance Decision and Optimization of Complicate Equipment Based on Off-line State Monitoring" @default.
- W2363167015 hasPublicationYear "2015" @default.
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