{"title":"Stochastic Resonance Based on Energy Analysis and Its Application to Surge Alarm","authors":"Jinjing Zhang, Yanzhao Sun, Kai Yin","doi":"10.1109/ICSGEA.2018.00021","DOIUrl":null,"url":null,"abstract":"Characteristic energy analysis of the stochastic resonance (EFESR) method is introduced for the identification on fluctuation of pressure pulsation for surge alarm of aircraft engine. The effect of stochastic resonance on the detection is optimized using parameters obtained in signal characteristics analysis. Upon processing employing the EFESR method, the amplitude of pressure pulsation signal is enhanced and the noise power is reduced, so that the fluctuation can be estimated with greater precision through energy analysis. The EFESR approach is applied to surge alarm of aircraft engine. The results of the test data show that surge was successfully captured and no false alarm by employing the EFESR method.","PeriodicalId":445324,"journal":{"name":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Smart Grid and Electrical Automation (ICSGEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSGEA.2018.00021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Characteristic energy analysis of the stochastic resonance (EFESR) method is introduced for the identification on fluctuation of pressure pulsation for surge alarm of aircraft engine. The effect of stochastic resonance on the detection is optimized using parameters obtained in signal characteristics analysis. Upon processing employing the EFESR method, the amplitude of pressure pulsation signal is enhanced and the noise power is reduced, so that the fluctuation can be estimated with greater precision through energy analysis. The EFESR approach is applied to surge alarm of aircraft engine. The results of the test data show that surge was successfully captured and no false alarm by employing the EFESR method.