Kenneth R. Bundy, C. Pandian, A. Abedi, V. Caccese
{"title":"Analysis of leak spectral signatures in pressurized space modules","authors":"Kenneth R. Bundy, C. Pandian, A. Abedi, V. Caccese","doi":"10.1109/WiSEE.2016.7877303","DOIUrl":null,"url":null,"abstract":"Pressurized space modules of all types are at risk of depressurization due to leaking air. Leaks may be caused by space debris impact or structural aging and failure overtime. This paper addresses the issue of leak type detection by analyzing airborne ultrasonic waves through Fourier Decomposition and Singular Spectrum Analysis. Depending on the vessel material, size of the leak, and pressure gradient, different waveforms are produced. Once a large number of samples have been recorded, the resulting database is used for detecting leaks and identification of the leak specification. This study includes aluminum, steel, rubber, and plastic.","PeriodicalId":177862,"journal":{"name":"2016 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WiSEE.2016.7877303","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Pressurized space modules of all types are at risk of depressurization due to leaking air. Leaks may be caused by space debris impact or structural aging and failure overtime. This paper addresses the issue of leak type detection by analyzing airborne ultrasonic waves through Fourier Decomposition and Singular Spectrum Analysis. Depending on the vessel material, size of the leak, and pressure gradient, different waveforms are produced. Once a large number of samples have been recorded, the resulting database is used for detecting leaks and identification of the leak specification. This study includes aluminum, steel, rubber, and plastic.