L. Madarász, R. Andoga, L. Főző, T. Karol, J. Judičák
{"title":"MPM-20涡喷发动机转速诊断多数方法的实现","authors":"L. Madarász, R. Andoga, L. Főző, T. Karol, J. Judičák","doi":"10.1109/INES.2011.5954720","DOIUrl":null,"url":null,"abstract":"The paper deals with modeling and diagnostics of complex systems. In the area of modeling, the authors describe dynamic models of dependence of speed upon fuel flow supply of a small turbojet engine MPM-20. The first model is done with use of neural networks and the second is a linear model. Both models are then methodologically incorporated into the diagnostic and backup system of the optical sensor measuring the speed of the engine.","PeriodicalId":414812,"journal":{"name":"2011 15th IEEE International Conference on Intelligent Engineering Systems","volume":"233 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Implementation of the majority method for engine speed diagnostics of the turbojet engine MPM-20\",\"authors\":\"L. Madarász, R. Andoga, L. Főző, T. Karol, J. Judičák\",\"doi\":\"10.1109/INES.2011.5954720\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper deals with modeling and diagnostics of complex systems. In the area of modeling, the authors describe dynamic models of dependence of speed upon fuel flow supply of a small turbojet engine MPM-20. The first model is done with use of neural networks and the second is a linear model. Both models are then methodologically incorporated into the diagnostic and backup system of the optical sensor measuring the speed of the engine.\",\"PeriodicalId\":414812,\"journal\":{\"name\":\"2011 15th IEEE International Conference on Intelligent Engineering Systems\",\"volume\":\"233 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 15th IEEE International Conference on Intelligent Engineering Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INES.2011.5954720\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 15th IEEE International Conference on Intelligent Engineering Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INES.2011.5954720","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementation of the majority method for engine speed diagnostics of the turbojet engine MPM-20
The paper deals with modeling and diagnostics of complex systems. In the area of modeling, the authors describe dynamic models of dependence of speed upon fuel flow supply of a small turbojet engine MPM-20. The first model is done with use of neural networks and the second is a linear model. Both models are then methodologically incorporated into the diagnostic and backup system of the optical sensor measuring the speed of the engine.
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