{"title":"异构机器人系统诊断参数评价的自适应神经模糊尺度模型","authors":"A. Volkov, V. Goncharenko","doi":"10.1109/SUMMA48161.2019.8947517","DOIUrl":null,"url":null,"abstract":"This paper proposes a new approach to evaluating diagnostics parameters of a complex engineering system. The approach is based on a comprehensive evaluation model in form of adaptive neuro-fuzzy scale. The application of the model is directed to the solution of problems of identifying the type of technical condition of a heterogeneous robotic system.","PeriodicalId":163496,"journal":{"name":"2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Model of Adaptive Neuro-Fuzzy Scale for Evalutation of Diagnostics Parameters of Heterogeneous Robotic System\",\"authors\":\"A. Volkov, V. Goncharenko\",\"doi\":\"10.1109/SUMMA48161.2019.8947517\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a new approach to evaluating diagnostics parameters of a complex engineering system. The approach is based on a comprehensive evaluation model in form of adaptive neuro-fuzzy scale. The application of the model is directed to the solution of problems of identifying the type of technical condition of a heterogeneous robotic system.\",\"PeriodicalId\":163496,\"journal\":{\"name\":\"2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SUMMA48161.2019.8947517\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SUMMA48161.2019.8947517","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Model of Adaptive Neuro-Fuzzy Scale for Evalutation of Diagnostics Parameters of Heterogeneous Robotic System
This paper proposes a new approach to evaluating diagnostics parameters of a complex engineering system. The approach is based on a comprehensive evaluation model in form of adaptive neuro-fuzzy scale. The application of the model is directed to the solution of problems of identifying the type of technical condition of a heterogeneous robotic system.
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