{"title":"MCU system based on IEC61508 for Autonomous Functional safety platform","authors":"V. Rawat, Vrinda Gupta, D. S. Tomar","doi":"10.1109/ICECA49313.2020.9297575","DOIUrl":null,"url":null,"abstract":"In the recently developed automated system, reliability and safety are remaining as significant challenges especially in the autonomous industrial system after the fourth industrial revolution. This paper proposes a safety decision making MCU system after validating and verifying the internal memories of different Intellectual property (IP) in the Field-programmable Gate array (FPGA). When internal memories of industrial equipment safety failure occur, MCU must enter into the safest mode, so it is requisite to analyze the functional safety of the MCU system. Based on the industrial safety standard IEC61508 and characteristics of the MCU system, this paper emphasizes and analyzes the hardware safety requirement as well as a technical safety requirement of the MCU system. With the analysis report, it can effectively improve the Validation coverage and Validation time as well as reliability and safety of the Autonomous functional safety platform and also reduce the complexity of the MCU system.","PeriodicalId":297285,"journal":{"name":"2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECA49313.2020.9297575","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In the recently developed automated system, reliability and safety are remaining as significant challenges especially in the autonomous industrial system after the fourth industrial revolution. This paper proposes a safety decision making MCU system after validating and verifying the internal memories of different Intellectual property (IP) in the Field-programmable Gate array (FPGA). When internal memories of industrial equipment safety failure occur, MCU must enter into the safest mode, so it is requisite to analyze the functional safety of the MCU system. Based on the industrial safety standard IEC61508 and characteristics of the MCU system, this paper emphasizes and analyzes the hardware safety requirement as well as a technical safety requirement of the MCU system. With the analysis report, it can effectively improve the Validation coverage and Validation time as well as reliability and safety of the Autonomous functional safety platform and also reduce the complexity of the MCU system.
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