{"title":"过程控制中多维传感器集成的自组织方法","authors":"D. Sbarbaro, T. Johansen","doi":"10.1109/IJCNN.2002.1005598","DOIUrl":null,"url":null,"abstract":"Multidimensional sensors can deliver vast and rich information about the operation of industrial processes. They are popular at the supervisory level in industrial applications; however, their use at control level is not very common. There are no standard methodologies to design a control system based on the information provided by this type of sensors. This paper describes an approach,. based. on self-organizing maps or Kohonen's networks, for integrating the information provided by multidimensional sensors in process control. A simulated example illustrates the main characteristics and performance of the proposed approach.","PeriodicalId":382771,"journal":{"name":"Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A self-organizing approach for integrating multidimensional sensors in process control\",\"authors\":\"D. Sbarbaro, T. Johansen\",\"doi\":\"10.1109/IJCNN.2002.1005598\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multidimensional sensors can deliver vast and rich information about the operation of industrial processes. They are popular at the supervisory level in industrial applications; however, their use at control level is not very common. There are no standard methodologies to design a control system based on the information provided by this type of sensors. This paper describes an approach,. based. on self-organizing maps or Kohonen's networks, for integrating the information provided by multidimensional sensors in process control. A simulated example illustrates the main characteristics and performance of the proposed approach.\",\"PeriodicalId\":382771,\"journal\":{\"name\":\"Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IJCNN.2002.1005598\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IJCNN.2002.1005598","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A self-organizing approach for integrating multidimensional sensors in process control
Multidimensional sensors can deliver vast and rich information about the operation of industrial processes. They are popular at the supervisory level in industrial applications; however, their use at control level is not very common. There are no standard methodologies to design a control system based on the information provided by this type of sensors. This paper describes an approach,. based. on self-organizing maps or Kohonen's networks, for integrating the information provided by multidimensional sensors in process control. A simulated example illustrates the main characteristics and performance of the proposed approach.