Ling Zhao, Hengshan Zong, Xingyu Wang, Na Wang, Zeyu Jiao
{"title":"基于性能退化分布的航空发动机可靠性评估","authors":"Ling Zhao, Hengshan Zong, Xingyu Wang, Na Wang, Zeyu Jiao","doi":"10.1109/AIAM54119.2021.00009","DOIUrl":null,"url":null,"abstract":"The aerospace engine is the most important part of the spacecraft, and it is related to whether the spacecraft can operate efficiently and stably. According to statistics, more than 90% of aerospace accidents are caused by the failure of aerospace engines. Therefore, predicting the remaining useful life (RUL) of aerospace engines is of great significance for ensuring the safety of astronauts and avoiding property losses. This study proposes a space engine reliability assessment method based on the distribution of performance degradation, which can be utilized to predict the remaining useful life of space engines based on historical data. The experimental results show that the method proposed in this study can numerically express the remaining useful life in the form of probability, which has great engineering and practical significance for aerospace engineering.","PeriodicalId":227320,"journal":{"name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Reliability evaluation of aerospace engines based on performance degradation distribution\",\"authors\":\"Ling Zhao, Hengshan Zong, Xingyu Wang, Na Wang, Zeyu Jiao\",\"doi\":\"10.1109/AIAM54119.2021.00009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aerospace engine is the most important part of the spacecraft, and it is related to whether the spacecraft can operate efficiently and stably. According to statistics, more than 90% of aerospace accidents are caused by the failure of aerospace engines. Therefore, predicting the remaining useful life (RUL) of aerospace engines is of great significance for ensuring the safety of astronauts and avoiding property losses. This study proposes a space engine reliability assessment method based on the distribution of performance degradation, which can be utilized to predict the remaining useful life of space engines based on historical data. The experimental results show that the method proposed in this study can numerically express the remaining useful life in the form of probability, which has great engineering and practical significance for aerospace engineering.\",\"PeriodicalId\":227320,\"journal\":{\"name\":\"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AIAM54119.2021.00009\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (AIAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIAM54119.2021.00009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reliability evaluation of aerospace engines based on performance degradation distribution
The aerospace engine is the most important part of the spacecraft, and it is related to whether the spacecraft can operate efficiently and stably. According to statistics, more than 90% of aerospace accidents are caused by the failure of aerospace engines. Therefore, predicting the remaining useful life (RUL) of aerospace engines is of great significance for ensuring the safety of astronauts and avoiding property losses. This study proposes a space engine reliability assessment method based on the distribution of performance degradation, which can be utilized to predict the remaining useful life of space engines based on historical data. The experimental results show that the method proposed in this study can numerically express the remaining useful life in the form of probability, which has great engineering and practical significance for aerospace engineering.