{"title":"一种基于人工神经网络的连续数年维修调度方案","authors":"H. Sasaki, H. Choshi, Y. Takiuchi, J. Kubokawa","doi":"10.1109/ANN.1993.264326","DOIUrl":null,"url":null,"abstract":"This paper describes a method of solving the maintenance scheduling problem of thermal power station units by making use of artificial neural networks, which can handle inequality constraints effectively. In the problem formulation, different classes of maintenance works and several consecutive years are considered to obtain a more realistic solution. The problem has been mapped on artificial neural networks and solved by a network simulator.<<ETX>>","PeriodicalId":121897,"journal":{"name":"[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems","volume":"113 4 Suppl 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"A solution of maintenance scheduling covering several consecutive years by artificial neural networks\",\"authors\":\"H. Sasaki, H. Choshi, Y. Takiuchi, J. Kubokawa\",\"doi\":\"10.1109/ANN.1993.264326\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a method of solving the maintenance scheduling problem of thermal power station units by making use of artificial neural networks, which can handle inequality constraints effectively. In the problem formulation, different classes of maintenance works and several consecutive years are considered to obtain a more realistic solution. The problem has been mapped on artificial neural networks and solved by a network simulator.<<ETX>>\",\"PeriodicalId\":121897,\"journal\":{\"name\":\"[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems\",\"volume\":\"113 4 Suppl 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-04-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANN.1993.264326\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANN.1993.264326","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A solution of maintenance scheduling covering several consecutive years by artificial neural networks
This paper describes a method of solving the maintenance scheduling problem of thermal power station units by making use of artificial neural networks, which can handle inequality constraints effectively. In the problem formulation, different classes of maintenance works and several consecutive years are considered to obtain a more realistic solution. The problem has been mapped on artificial neural networks and solved by a network simulator.<>