{"title":"Tolerance Analysis of Continuous and Discrete Apertures Through a Novel Probabilistic Interval Arithmetic Method","authors":"N. Anselmi, A. Benoni, P. Rocca, A. Massa","doi":"10.1109/APS/URSI47566.2021.9704190","DOIUrl":null,"url":null,"abstract":"This work presents a probabilistic interval analysis method for the tolerance analysis of discrete and continuous apertures. Given the knowledge of the interval tolerances, and starting from inclusive pattern bounds obtained using state-of-art interval analysis tools, a novel methodology is here introduced that allows to compute, in closed-form, the probability distribution of the random pattern occurrences within the interval bounds. A numerical example is reported showing the advantage of the proposed approach with respect to the state-of-art interval analysis methods.","PeriodicalId":6801,"journal":{"name":"2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI)","volume":"74 1","pages":"1259-1260"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APS/URSI47566.2021.9704190","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This work presents a probabilistic interval analysis method for the tolerance analysis of discrete and continuous apertures. Given the knowledge of the interval tolerances, and starting from inclusive pattern bounds obtained using state-of-art interval analysis tools, a novel methodology is here introduced that allows to compute, in closed-form, the probability distribution of the random pattern occurrences within the interval bounds. A numerical example is reported showing the advantage of the proposed approach with respect to the state-of-art interval analysis methods.