{"title":"From a sow's ear-quantitative diagnostic design requirements from anecdotal references","authors":"J. Anderson","doi":"10.1109/AUTEST.1989.81120","DOIUrl":null,"url":null,"abstract":"The diagnostic performance of modern avionic systems is widely characterized using anecdotal descriptors. 'Forty percent of all failures are due to switch/connector problems' and 'fifty percent of all equipment removed retests okay' are examples. While they are numerous and bear undeniable elements of truth, it is argued that their imprecision and fragmentary nature impede ready absorption of the information they convey into the diagnostic design process. The author asserts that these descriptors, taken in total, constitute a valuable, timely diagnostic requirements analysis input. He identifies a methodology for exploiting them, provides examples of the anecdotal inputs, presents interim and final analytical results, and proposes an approach to embedding the results into a diagnostic concept.<<ETX>>","PeriodicalId":321804,"journal":{"name":"IEEE Automatic Testing Conference.The Systems Readiness Technology Conference. Automatic Testing in the Next Decade and the 21st Century. Conference Record.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Automatic Testing Conference.The Systems Readiness Technology Conference. Automatic Testing in the Next Decade and the 21st Century. Conference Record.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AUTEST.1989.81120","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
The diagnostic performance of modern avionic systems is widely characterized using anecdotal descriptors. 'Forty percent of all failures are due to switch/connector problems' and 'fifty percent of all equipment removed retests okay' are examples. While they are numerous and bear undeniable elements of truth, it is argued that their imprecision and fragmentary nature impede ready absorption of the information they convey into the diagnostic design process. The author asserts that these descriptors, taken in total, constitute a valuable, timely diagnostic requirements analysis input. He identifies a methodology for exploiting them, provides examples of the anecdotal inputs, presents interim and final analytical results, and proposes an approach to embedding the results into a diagnostic concept.<>