Stochastic Resonance Based on Energy Analysis and Its Application to Surge Alarm

Jinjing Zhang, Yanzhao Sun, Kai Yin
{"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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于能量分析的随机共振及其在浪涌报警中的应用
介绍了随机共振(EFESR)方法的特征能量分析方法,用于航空发动机喘振报警压力脉动波动识别。利用信号特性分析得到的参数优化随机共振对检测的影响。采用EFESR方法处理后,增强了压力脉动信号的幅值,降低了噪声功率,从而可以通过能量分析更精确地估计波动。将EFESR方法应用于飞机发动机喘振报警。试验数据表明,采用EFESR方法能成功捕获浪涌,无虚警。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Research on Medium-Long Term Power Load Forecasting Method Based on Load Decomposition and Big Data Technology Design and Implementation of Intelligent Kitchen System Based on Internet of Things Condition Maintenance on Secondary Equipment of Relay Protection in Substation Information Acquisition Structure of Internet of Things Based on Intelligent Gateway between ZigBee and Ethernet Preliminary Study on a Fiber Optic Extrinsic Fabry-Perot Interferometer Sensor of Acoustic Detection for Partial Discharge
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1