Kunz Jan, Cala Martin, Pikula Stanislav, Beneš Petr
{"title":"用于喷气发动机预测维修的跟踪滤波器设计——不同方法及其比较","authors":"Kunz Jan, Cala Martin, Pikula Stanislav, Beneš Petr","doi":"10.2478/scjme-2018-0049","DOIUrl":null,"url":null,"abstract":"Abstract The aim of this paper is to design, implement, test and compare several tracking filtration methods for predictive maintenance of a jet engine. Based on literature review multiple possible methods are described. Appropriate ones selected for further implementation are peak filtration, coherent demodulation, Vold-Kalman filtration and order analysis. Methods are tested to meet criteria set by an aircraft manufacturer and compared using simulated signals.","PeriodicalId":35968,"journal":{"name":"Strojnicky Casopis","volume":"68 1","pages":"75 - 84"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Tracking Filter Design for Predictive Maintenance of Jet Engine – Different Approaches and their Comparison\",\"authors\":\"Kunz Jan, Cala Martin, Pikula Stanislav, Beneš Petr\",\"doi\":\"10.2478/scjme-2018-0049\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract The aim of this paper is to design, implement, test and compare several tracking filtration methods for predictive maintenance of a jet engine. Based on literature review multiple possible methods are described. Appropriate ones selected for further implementation are peak filtration, coherent demodulation, Vold-Kalman filtration and order analysis. Methods are tested to meet criteria set by an aircraft manufacturer and compared using simulated signals.\",\"PeriodicalId\":35968,\"journal\":{\"name\":\"Strojnicky Casopis\",\"volume\":\"68 1\",\"pages\":\"75 - 84\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Strojnicky Casopis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2478/scjme-2018-0049\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Strojnicky Casopis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/scjme-2018-0049","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
Tracking Filter Design for Predictive Maintenance of Jet Engine – Different Approaches and their Comparison
Abstract The aim of this paper is to design, implement, test and compare several tracking filtration methods for predictive maintenance of a jet engine. Based on literature review multiple possible methods are described. Appropriate ones selected for further implementation are peak filtration, coherent demodulation, Vold-Kalman filtration and order analysis. Methods are tested to meet criteria set by an aircraft manufacturer and compared using simulated signals.
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