{"title":"基于模糊逻辑的航空发动机超振监测方法","authors":"Li Ludan, Y. Fang, Sun Juanping","doi":"10.1109/ICPECA51329.2021.9362616","DOIUrl":null,"url":null,"abstract":"In order to improve the intelligent level of real-time monitoring of aero-engine, this paper proposes a method of engine state monitoring aiming at vibration over limit fault, which uses fuzzy inference technology to analyze the fault of vibration parameters and carry out hierarchical alarm, so as to achieve the purpose of monitoring engine state. Experimental data are used to study and verify the algorithm, which shows the effectiveness of the method.","PeriodicalId":119798,"journal":{"name":"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Aero-Engine Over Vibration Monitoring Method Based on Fuzzy Logic\",\"authors\":\"Li Ludan, Y. Fang, Sun Juanping\",\"doi\":\"10.1109/ICPECA51329.2021.9362616\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to improve the intelligent level of real-time monitoring of aero-engine, this paper proposes a method of engine state monitoring aiming at vibration over limit fault, which uses fuzzy inference technology to analyze the fault of vibration parameters and carry out hierarchical alarm, so as to achieve the purpose of monitoring engine state. Experimental data are used to study and verify the algorithm, which shows the effectiveness of the method.\",\"PeriodicalId\":119798,\"journal\":{\"name\":\"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)\",\"volume\":\"76 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPECA51329.2021.9362616\",\"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 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPECA51329.2021.9362616","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Aero-Engine Over Vibration Monitoring Method Based on Fuzzy Logic
In order to improve the intelligent level of real-time monitoring of aero-engine, this paper proposes a method of engine state monitoring aiming at vibration over limit fault, which uses fuzzy inference technology to analyze the fault of vibration parameters and carry out hierarchical alarm, so as to achieve the purpose of monitoring engine state. Experimental data are used to study and verify the algorithm, which shows the effectiveness of the method.