. . . "Maintenance modeling and optimization applied to power distribution networks"@en . . "Maintenance modeling and optimization applied to power distribution networks" . "CRC PRESS-TAYLOR & FRANCIS GROUP" . "RIV/61989100:27240/10:86075602!RIV11-MSM-27240___" . . "27240" . . "Neuveden" . . . "London" . "Maintenance, modeling, optimization, power distribution networks"@en . . "Safety and Reliability of Industrial Products, Systems and Structures" . "Z(MSM6198910007)" . "269259" . "[19876BE85D24]" . . "12"^^ . "Maintenance modeling and optimization applied to power distribution networks"@en . . "Bri\u0161, Radim" . . "Maintenance modeling and optimization applied to power distribution networks" . "978-0-415-66392-2" . . . "460"^^ . "The goal of the maintenance modelling and optimization is to formulate such a maintenance strategy so that the total operating costs may be minimised keeping up the necessary degree of the reliability and safety of equipment operated. Two different approaches are introduced within this document. Either are based on mathematical modeling of all hypothetical system interventions aiming at finding an optimal maintenance strategy applied on given system and its components. Computational difficulties as well as different maintenance models of input components are introduced. Common cost-optimization problem is formulated and its solution is demonstrated on simple system-a part of real distribution network 22 kV. Optimal preventive maintenance policy at prescribed availability limit is found using genetic algorithms technique. Newly developed software for the maintenance optimization of equipment in electric power engineering is demonstrated. Its aim is more effectively maintenance programmes of equipment." . . "3"^^ . . "Rusek, Stanislav" . . "3"^^ . "The goal of the maintenance modelling and optimization is to formulate such a maintenance strategy so that the total operating costs may be minimised keeping up the necessary degree of the reliability and safety of equipment operated. Two different approaches are introduced within this document. Either are based on mathematical modeling of all hypothetical system interventions aiming at finding an optimal maintenance strategy applied on given system and its components. Computational difficulties as well as different maintenance models of input components are introduced. Common cost-optimization problem is formulated and its solution is demonstrated on simple system-a part of real distribution network 22 kV. Optimal preventive maintenance policy at prescribed availability limit is found using genetic algorithms technique. Newly developed software for the maintenance optimization of equipment in electric power engineering is demonstrated. Its aim is more effectively maintenance programmes of equipment."@en . . "RIV/61989100:27240/10:86075602" . "Go\u0148o, Radom\u00EDr" .