Article(id=1314908090076586243, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1314908074188562588, articleNumber=null, orderNo=null, doi=10.3969/j.issn.0253-6099.2026.04.004, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1774022400000, receivedDateStr=2026-03-21, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791428118485, onlineDateStr=2026-10-08, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791428118485, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791428118485, creator=13701087609, updateTime=1791428118485, updator=13701087609, issue=Issue{id=1314908074188562588, tenantId=1146029695717560320, journalId=1235980550691926019, year='2026', volume='46', issue='4', pageStart='1', pageEnd='266', issueExtLink='null', onlineDate='null', pubDate='1785513600000', pubDateStr='2026-08-01', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1791428114697, creator='13701087609', updateTime=1791430419337, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314917740654191268, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1314908074188562588, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314917740654191269, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1314908074188562588, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=27, endPage=35, ext={EN=ArticleExt(id=1314908091838193924, articleId=1314908090076586243, tenantId=1146029695717560320, journalId=1235980550691926019, language=EN, title=Noise Reduction Method and Time-Frequency Characteristics of Blasting Vibration Signals for High Slopes, columnId=1236276106018484431, journalTitle=Mining and Metallurgical Engineering, columnName=MINING, runingTitle=null, highlight=null, articleAbstract=

When drilling and blasting are adopted for excavation of high slopes, blasting-induced vibration signals are susceptible to noise interference and their effective features are difficult to extract accurately, a noise reduction method based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) combined with wavelet threshold is proposed. Blasting vibration signals are reprocessed based on mean ratio (MR), sample entropy, and correlation coefficient. The proposed method is verified by simulated and field measured blasting vibration signals. The simulation results show that the signal-to-noise ratio (SNR) of the proposed method reaches 27.80 dB and the root-mean-square error (RMSE) is 0.209 1, presenting a superior noise-reduction performance compared to the other four methods. Engineering application results indicate that this proposed method can effectively suppress high-frequency noise and improve the resolution and stability of time-frequency analysis for blasting vibration signals. Further analysis reveals that the dominant frequency of blasting vibration signals is mainly within the range of 10-60 Hz with energy concentrated within 16-125 Hz; the dominant frequency of rockfall impact signals is mostly in the range of 40-720 Hz with more complex spectral structures, and its energy is mainly distributed in 62-1 000 Hz.

, authors=Lilin REN¹, Yu HUANG², Qingbin CAO¹, Li HE², Gangxian QI¹, Yongming ZHAO², Lujun CAI², Dongwang ZHONG², Linna LI², authorsList=Lilin REN, Yu HUANG, Qingbin CAO, Li HE, Gangxian QI, Yongming ZHAO, Lujun CAI, Dongwang ZHONG, Linna LI, authorCompany=null, correspAuthors=Yu HUANG, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1314908092186321159, articleId=1314908090076586243, tenantId=1146029695717560320, journalId=1235980550691926019, language=CN, title=高边坡爆破振动信号降噪方法及时频特征研究, columnId=1236276106219811026, journalTitle=矿冶工程杂志, columnName=采矿, runingTitle=null, highlight=null, articleAbstract=

针对高边坡爆破开挖过程中爆破振动信号易受噪声干扰、有效特征难以准确提取的问题，提出一种基于自适应噪声完备经验模态分解（CEEMDAN）与小波阈值联合的降噪方法，结合均值判比法、样本熵、相关系数对爆破振动信号进行预处理。通过仿真信号和实际爆破振动信号对所提方法进行验证。仿真结果表明，所提方法信噪比（SNR）达到27.80 dB，均方根误差（RMSE）为0.2091，降噪性能优于其他4种方法。工程应用结果表明，该降噪方法能够有效抑制高频噪声，提高爆破振动信号时频分析的分辨率与稳定性。进一步分析发现，爆破振动信号主频主要集中于10~60 Hz，能量集中分布于16~125 Hz；滚石触地信号主频主要位于40~720 Hz，频谱结构更为复杂，能量主要分布于62~1000 Hz。

, authors=任李林¹, 黄宇², 曹庆彬¹, 何理², 齐刚宪¹, 赵永明², 蔡路军², 钟冬望², 李琳娜², authorsList=任李林, 黄宇, 曹庆彬, 何理, 齐刚宪, 赵永明, 蔡路军, 钟冬望, 李琳娜, authorCompany=null, correspAuthors=黄宇, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=ORpK8EBgKFCHnrKW0AzApw==, magXml=YF6QfslULnzdUQTFXTFXUA==, pdfUrl=null, pdf=tSlqq7xpvCms1wgSF5mh5A==, pdfFileSize=1897234, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=yzbdYPPlzss/tB253QppZA==, mapNumber=null, fund=null)}, authors=[Author(id=1314908092723192080, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1314908090076586243, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=1243954907@qq.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1314908092802883858, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1314908090076586243, authorId=1314908092723192080, language=EN, stringName=Lilin REN, firstName=Lilin, middleName=null, lastName=REN, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.China Railway Guangzhou Engineering Bureau Group Municipal & Environmental Protection Engineering Co., Ltd., Xi'an 712000, Shaanxi, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1314908092874187027, tenantId=1146029695717560320, journalId=1235980550691926019, articleId=1314908090076586243, authorId=1314908092723192080, language=CN, stringName=任李林, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1．中铁广州工程局集团市政环保工程有限公司，陕西 西安 712000, bio={"content":"

任李林（1996—），男，四川射洪人，高级工程师，从事爆破工程技术方面的研究。E-mail: 1243954907@qq.com

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任李林（1996—），男，四川射洪人，高级工程师，从事爆破工程技术方面的研究。E-mail: 1243954907@qq.com

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