{"title":"可靠性增长模型在飞行试验中的应用","authors":"Chengyu Ju, Na Zhao, Ning Tang","doi":"10.1109/ICSPCC55723.2022.9984445","DOIUrl":null,"url":null,"abstract":"At present, aircraft reliability assessment is generally calculated by exponential distribution in the flight test stage, but the exponential distribution has certain limitations, and with the continuous maintenance of aircraft in the flight test stage, the reliability gradually increases and the failure rate gradually decreases. Aiming at the above problems, this paper uses normal distribution, exponential distribution, Weibull distribution, lognormal distribution and AMSAA growth model for fitting modeling, Finally, through comparative analysis, the optimal reliability fitting distribution results are given, which is of great significance for subsequent reliability evaluation.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of Reliability Growth Model in Flight Test\",\"authors\":\"Chengyu Ju, Na Zhao, Ning Tang\",\"doi\":\"10.1109/ICSPCC55723.2022.9984445\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"At present, aircraft reliability assessment is generally calculated by exponential distribution in the flight test stage, but the exponential distribution has certain limitations, and with the continuous maintenance of aircraft in the flight test stage, the reliability gradually increases and the failure rate gradually decreases. Aiming at the above problems, this paper uses normal distribution, exponential distribution, Weibull distribution, lognormal distribution and AMSAA growth model for fitting modeling, Finally, through comparative analysis, the optimal reliability fitting distribution results are given, which is of great significance for subsequent reliability evaluation.\",\"PeriodicalId\":346917,\"journal\":{\"name\":\"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)\",\"volume\":\"102 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSPCC55723.2022.9984445\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSPCC55723.2022.9984445","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Reliability Growth Model in Flight Test
At present, aircraft reliability assessment is generally calculated by exponential distribution in the flight test stage, but the exponential distribution has certain limitations, and with the continuous maintenance of aircraft in the flight test stage, the reliability gradually increases and the failure rate gradually decreases. Aiming at the above problems, this paper uses normal distribution, exponential distribution, Weibull distribution, lognormal distribution and AMSAA growth model for fitting modeling, Finally, through comparative analysis, the optimal reliability fitting distribution results are given, which is of great significance for subsequent reliability evaluation.