Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/73981
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dc.contributorChinese Mainland Affairs Office-
dc.creatorSong, Y-
dc.creatorWu, F-
dc.creatorLiu, D-
dc.creatorLiu, X-
dc.creatorNi, Y-
dc.date.accessioned2018-03-29T07:15:49Z-
dc.date.available2018-03-29T07:15:49Z-
dc.identifier.issn1000-3835-
dc.identifier.urihttp://hdl.handle.net/10397/73981-
dc.language.isozhen_US
dc.publisher中國學術期刊 (光盤版) 電子雜誌社en_US
dc.rights© 2017 China Academic Journal Electronic Publishing House. It is to be used strictly for educational and research use.en_US
dc.rights© 2017 中国学术期刊电子杂志出版社。本内容的使用仅限于教育、科研之目的。en_US
dc.subjectAccoustic emission (AE)en_US
dc.subjectNondestructive test (NDT)en_US
dc.subjectRailen_US
dc.subjectSingularity detectionen_US
dc.titleRail damage detection method based on acoustic emission and wavelet singularityen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage196-
dc.identifier.epage200-
dc.identifier.volume36-
dc.identifier.issue2-
dc.identifier.doi10.13465/j.cnki.jvs.2017.02.032-
dcterms.abstract很多重大脱轨事件都与钢轨的损伤密切相关,因此,对在役钢轨进行定期损伤检测显得尤为重要。研究首先运用声发射原理,通过对在役钢轨损伤前后监测系统所采集的数据信号进行时域及频域的分析,根据有损信号的能量谱特点,判断钢轨中损伤的存在。其次,运用小波奇异性检测原理探讨研究了定位损伤。通过分析各种连续小波变换算法的结果,得出à Trous算法在奇异性检测中能够较准确判断出奇异点位置。因此,结合声发射原理和小波处理的方法的无损监测可应用于在役钢轨的损伤检测和定位,对铁路钢轨损伤进行检测和预报。-
dcterms.abstractMany major derail accidents are closely related to the rail damage, so the study on the rail flaw detection technology is particularly important nowadays. The study is aiming at analyzing and comparing the characteristics of signals data before and after destruction, collected by a damage detection system. The damage and defect were judged by the differences between the processed data of destructive signals and nondestructive ones in time and frequency domain and according to the energy spectrum features. What's more, the locations of defects and damages were obtained by virtue of the singularities of destructive signals using three wavelet singularity analysis methods, including continuous wavelet transform, Mallat algorithm and à Trous algorithm. It is found that à Trous algorithm can give quite accurate information about real damage locations, which shows that this method can be used in the real damage detection for rails and provide us more precise defect location information.-
dcterms.accessRightsopen accessen_US
dcterms.alternative基于声发射及小波奇异性的钢轨损伤检测-
dcterms.bibliographicCitation振动与冲击 (Journal of vibration and shock), 2017, v. 36, no. 2, p. 196-200-
dcterms.isPartOf振动与冲击 (Journal of vibration and shock)-
dcterms.issued2017-
dc.identifier.scopus2-s2.0-85015320177-
dc.description.validate201802 bcrc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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