Hau Lee Cheun, Chua Kein Huat, Albert Kow Kek Hing, Lim Kim Ten, Steven Chia
{"title":"MS IEC 62305-2:2007雷电风险评估兼容软件的综合可靠性和灵敏度分析","authors":"Hau Lee Cheun, Chua Kein Huat, Albert Kow Kek Hing, Lim Kim Ten, Steven Chia","doi":"10.1109/APL57308.2023.10181888","DOIUrl":null,"url":null,"abstract":"This paper presents the results of the reliability and sensitivity analysis conducted on lightning risk assessment (LRA) software compliant with the MS IEC 62305-2:2007 standard. The aim was to identify input parameters that can be fixed without compromising the reliability of the LRA and input parameters that have strong influence on the output risk values, thus significantly influencing the reliability of LRA. The results show that input CE, $r_{a}, h_{b}, R_{s}, W_{a}, L_{a}, H_{pb}, P_{A}$, and Uw have minimal impact on the output risk values and can be fixed. Conversely, the input parameters $\\mathrm{P}_{SPD}, \\mathrm{P}_{B}, r_{p}, \\mathrm{H}_{c}, \\mathrm{H}_{b}, \\mathrm{W}_{b}, r_{f}$, and Ng have strong influences on the output risk values. The accurate entry of these strong influence input parameters is crucial for reliable LRA as small changes can lead to significant changes in output risk values. It is recommended to carefully consider and accurately enter the remaining input parameters, as they could still result in influencing changes on the output risk values. The findings of this study are used in developing LRA software to provide qualitative LRA for protecting fixed structures and services against lightning hazards.","PeriodicalId":371726,"journal":{"name":"2023 12th Asia-Pacific International Conference on Lightning (APL)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Comprehensive Reliability and Sensitivity Analysis of MS IEC 62305-2:2007 Lightning Risk Assessment Compliant Software\",\"authors\":\"Hau Lee Cheun, Chua Kein Huat, Albert Kow Kek Hing, Lim Kim Ten, Steven Chia\",\"doi\":\"10.1109/APL57308.2023.10181888\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the results of the reliability and sensitivity analysis conducted on lightning risk assessment (LRA) software compliant with the MS IEC 62305-2:2007 standard. The aim was to identify input parameters that can be fixed without compromising the reliability of the LRA and input parameters that have strong influence on the output risk values, thus significantly influencing the reliability of LRA. The results show that input CE, $r_{a}, h_{b}, R_{s}, W_{a}, L_{a}, H_{pb}, P_{A}$, and Uw have minimal impact on the output risk values and can be fixed. Conversely, the input parameters $\\\\mathrm{P}_{SPD}, \\\\mathrm{P}_{B}, r_{p}, \\\\mathrm{H}_{c}, \\\\mathrm{H}_{b}, \\\\mathrm{W}_{b}, r_{f}$, and Ng have strong influences on the output risk values. The accurate entry of these strong influence input parameters is crucial for reliable LRA as small changes can lead to significant changes in output risk values. It is recommended to carefully consider and accurately enter the remaining input parameters, as they could still result in influencing changes on the output risk values. The findings of this study are used in developing LRA software to provide qualitative LRA for protecting fixed structures and services against lightning hazards.\",\"PeriodicalId\":371726,\"journal\":{\"name\":\"2023 12th Asia-Pacific International Conference on Lightning (APL)\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 12th Asia-Pacific International Conference on Lightning (APL)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APL57308.2023.10181888\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 12th Asia-Pacific International Conference on Lightning (APL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APL57308.2023.10181888","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Comprehensive Reliability and Sensitivity Analysis of MS IEC 62305-2:2007 Lightning Risk Assessment Compliant Software
This paper presents the results of the reliability and sensitivity analysis conducted on lightning risk assessment (LRA) software compliant with the MS IEC 62305-2:2007 standard. The aim was to identify input parameters that can be fixed without compromising the reliability of the LRA and input parameters that have strong influence on the output risk values, thus significantly influencing the reliability of LRA. The results show that input CE, $r_{a}, h_{b}, R_{s}, W_{a}, L_{a}, H_{pb}, P_{A}$, and Uw have minimal impact on the output risk values and can be fixed. Conversely, the input parameters $\mathrm{P}_{SPD}, \mathrm{P}_{B}, r_{p}, \mathrm{H}_{c}, \mathrm{H}_{b}, \mathrm{W}_{b}, r_{f}$, and Ng have strong influences on the output risk values. The accurate entry of these strong influence input parameters is crucial for reliable LRA as small changes can lead to significant changes in output risk values. It is recommended to carefully consider and accurately enter the remaining input parameters, as they could still result in influencing changes on the output risk values. The findings of this study are used in developing LRA software to provide qualitative LRA for protecting fixed structures and services against lightning hazards.