{“状态”:“确定”,“消息类型”:“工作”,“信息版本”:“1.0.0”,“邮件”:{“索引”:{-“日期-部件”:[[2024,6,21]],“日期-时间”:“2024-06-21T02:14:39Z”,“时间戳”:1718936079937},“引用-计数”:35,“发布者”:“爱思唯尔BV”,“许可证”:[{“开始”:{-date-parts”:[2022,11,1]],《日期-时间》:“2022-11-01T00:00Z“,”timestamp“:1667260800000},”content-version“:“tdm”,“delay-in-days”:0,“URL”:“https:\/\/www.elsevier.com/tdm\/userlicense\/1.0\/”},{“start”:{“date-parts”:[2022,11,1]],“date-time”:“2022-11-01T00:00:00Z”,“timestamp”:16672608000000},“content-version”:“stm-asf”,“delay-in-days”:“0,”URL“https:\\/doi.org\/10.15223\/policy-017“},{”开始“:{”日期部分“:[2022,11,1]],”日期时间“:“2022-11-01T00:00:00Z”,“timestamp”:1667260800000},“content-version”:“stm-asf”,“delay-in-days”:0,“URL”:“https:\/\/doi.org\/10.15223\/policy-037”},{“start”:{“date-parts”:[2022,11,1]],“date-time”:“2022-11-01T00:00 Z”,,“URL”:“https:\/\/doi.org\/10.15223\/policy-012”},{“start”:{“date-parts”:[[2022,11,1]],“date-time”:“2022-11-01T00:00:00Z”,“timestamp”:166726080000},“content-version”:“stm-asf”,“delay-in-days”:0,“URL”:“https:\/\/doi.org\/10.15223\/policy-029”},{“start”:{(日期-parts):[[22022,11,1],“日期-时间”:“022-11-01T1T00:00Z”,”timestamp“:166726800000},“content-version”:“stm-asf”,“delay-in-days”:0,“URL”:“https:\/\/doi.org\/10.15223\/policy-004”}],“资助者”:[{“doi”:“10.13039\/501100001809”,“名称”:“中国国家自然科学基金会”,“doi-asserted-by”:“publisher”}],“content-domain”:{“domain”:[“elsevier.com”,“sciencedirect.com”],“crossmark-restriction”:true},“short-container-title”:[“应用专家系统”],”published-print“:{“date-parts”:[[2022,11]]},“DOI”:“10.1016\/j.eswa.2022.117758”,“type”:“journal-article”,“created”:{(日期-部件):[[22022,6,6]],“date-time”:“2022-06T15:41:27Z”,“timestamp”:1654530087000},”page“:”117758“,”update-policy“http://\/dx.DOI.org\/10.10016\/elsevier_cm_policy”,“source”:“Crossref”,“is-referenced-by-count”:5,“title”:[“基于改进的隐半马尔可夫模型的铣削过程中时序信号的建模和标记”],“前缀”:“10.1016”,“卷”:“205”,“作者”:[{“给定”:“开”,“家族”:“李”,“序列”:“第一”,“从属”:[]},“sequence”:“additional”,“affiliation”:[]},{“given”:“Mingsong”,“family”:“Chen”,“segment”:“附加”,“从属关系”:[]},}“giving”:“Yongcheng”,“家庭”:“Lin”,”sequence“:”additional“,”affiliance“:[]{”given“:”Xianshi“,”family附加“,”从属关系“:[]}],“member”:“78”,“reference”:[{“key”:“10.1016\/j.eswa.2022.117758_b0005”,“doi-asserted-by”:“crossref”,“doi”:“101016\/j.measurement.2019.107461”,“article-title”:“利用卷积和叠层LSTM网络预测铣刀剩余使用寿命的数据驱动模型”,“volume”:”154“,”author“:”An“,“year”:“2020”,“journal-title“:”“measurement”},{“issue”:“8”,“key”:“10.1016\/j.eswa.2022.117758_b0010”,“doi-asserted-by”:“crossref”,“first page”:”5“,“doi”:“10.5120\/3586-4967”,“article-title”:“An improved signal segment method using genetic algorithm”,”volume“:”29“,”author“:”Azami“,”year“:”2011“,”journal-title“:”International journal of Computer Applications“},{”issue“:”4“,”key“:“10.1016\/j.eswa.2022.117758_b0015”,“doi-asserted-by”:“crossref”,“first page”:“411”,“doi”:“10.1109\/89.917686”,“article-title”:“多观测空间隐马尔可夫模型的修正Baum-Welch算法”,“volume”:”9“,“author”:“Baggenstoss”,“year”:“2001”,“journal-title“:”IEEE Transactions on speech and audio processing“},{”key“:“10.1016\/j.eswa.202217758_b0020”,“系列标题”:“基于mel频率倒谱系数和支持向量机的齿轮箱故障诊断”,“第一页”:“220”,“作者”:“Benkedjouh”,“年份”:“2018”},{“问题”:“21”,“关键”:“10.1016\/j.eswa.202217758_b0025”,“doi断言者”:“crossref”,“第一页”:“7367”,“doi”:“10.1016\/j.eswa.2015.05.030”,“article-title”:“用于实时生物声学信号分割的增量技术”,“volume”:“42”,“author”:“Colonna”,“year”:“2015”,“journal-title“:“Expert Systems with Applications”},{“issue”:“1”,“key”:”10.1016\/j.eswa.2022.117758_b0030“,”doi-asserted-by“:”crossref“,”first page“21”,“doi”:“10.1016\/j.mechtronics.2005.09.001”,“artice-title:“记录复杂零件铣削过程中的实际切削力”,“卷”:“16”,“作者”:“De Lacalle”,“年份”:“2006”,“期刊标题”:“机电一体化”},{“问题”:“5”,“关键”:“10.1016\/j.eswa.202217758_b0035”,“doi断言”:“crossref”,“首页”:“2248”,“doi”:“10.1016\/j.ymssp.2006.10.001”,“文章标题”:“基于节段隐藏半马尔可夫模型(HSMM)的诊断和预测框架与方法”,“卷”:“21”,“作者”:“Dong”,“年份”:“2007”,“期刊标题”:“机械系统与信号处理”},{“关键”:“10.1016\/j.eswa.2022.117758_b0040”,“doi-asserted-by”:“crossref”,“doi”:“101016\/j.eswa.2020.113720”,“article-title”:“使用特征显著隐马尔可夫模型进行智能贝塔投资的新型动态资产分配系统”,“数量”:“163”,“作者”:“Fons”,“年份”:“2021”,“日志标题”:“应用专家系统”},{“关键”:“10.1016\/j.eswa.2022.117758_b0045”,“文章标题”:”基于温度信号和深度学习的刀具磨损预测研究“,“卷”:“478”,“作者”:“He”,“年份”:“2021”,“期刊标题”:“Wear”},{“问题”:“1”,“密钥”:“10.1016\/j.eswa.2022177558_b0050”,“doi断言”:“crossref”,“首页”:“55”,“doi”:“10.3390\/e0010055”,“文章标题”:“信号分割的顺序算法”,“卷”:“20”,“作者”:“Hubert”,“年份”:“2018”,“期刊标题”:“熵”},{“问题”:“8”,“key”:“10.1016\/j.eswa.2022.117758_b0055”,“doi-asserted-by”:“crossref”,“首页”:“1837”,“doi”:“101007\/s10845-020-01539-4”,“article-title”:“符合工业4.0标准的智能机床系统(SMTS)的体系结构开发”,“volume”:”31“,”author“:”Jeon“,”year“2020”,“journal-title“:”journal of Intelligent Manufacturing“},{”key“:“10.1016\/j.eswa.2022.117758_b0065”,“doi-asserted-by”:“crossref”,“first page”:“1300”,”doi“:”10.1016\/j.cie.2018.11.008“,”article-title“:”结合深度学习和无人机的漏油检测新方法“,”volume“:”135“,”author“:”Jiao“,“year”:“2019”,“journal-title”:“Computers&Industrial Engineering”},{“issue”:“5\u20136”,“key”:“10.1016\/j.eswa.2022.117758_b0070”,“doi-asserted-by”:“crossref”,“首页”:“1401”,“doi”:“101177\/1475921718805683”,“article-title”:“基于信号分段方法的齿轮故障诊断的卷积神经网络”,“volume”:“18”,“author”:“Kim”,“year”:“2019”,“journal-title“:”Structural Health Monitoring“},{”key“:“10.1016\/j.eswa.2022.117758_b0080”,“series-title”:“August).认知无线电系统中使用信号分割算法的最佳频谱感知”,“first page”:“118”,“author”:“Kirubahini”,“year”:“2020”},{“issue”:“9”,“key”:0英寸,“article-title”:“基于隐式半马尔可夫模型的铣削过程刀具磨损估算方法”,“volume”:“92”,“author”:“Kong”,“year”:“2017”,“journal-title:”The International journal of Advanced Manufacturing Technology“},{“key”:”10.1016\/j.eswa.2022.117758_b0090“,”series-title“:”11月)。长期脑电图记录的分类“,“首页”:“322”,“作者”:“Kosar”,“年份”:“2004”},{“问题”:“4”,“关键”:“10.1016\/j.eswa.2022.117758_b0095”,“doi-asserted-by”:“crossref”,”首页“:”239“,”doi“:”10.1007\/s12599-014-0334-4“,”文章标题“:”工业4.0“,”卷“:”6“,”作者“:”拉西“,”年份“:”2014“,”新闻标题“:“业务和信息系统工程”},{“key”:“10.1016\/j.eswa.2022.117758_b0100”,“doi-asserted-by”:“crossref”,“first page”:“21”,“doi”:“10.116\/j.cie.2018.03.026”,“article-title”:“使用隐半马尔可夫模型检测齿轮轴故障的最佳贝叶斯控制策略”,“volume”:”119“,”author:“Li”,”year“:”2018“,”journal-title“:”Computers&Industrial Engineering“},{”key“:“10.1016\/j.eswa.2022.117758_b0105”,“doi-asserted-by”:“crossref”,“first page”:“55”,“doi”:“10.106\/j.jmapro.2020.02.008”,“article-title”:“滚珠丝杠在不断变化的操作条件下的振动健康监测”,“volume”:”53“,”author“:”Li“,”year“:”2020“,”journal-title“:”journal of Manufacturing Processes“},{“issue”:“3”,“key”:“10.1016\/j.eswa.2022.117758_b0110”,“doi-asserted-by”:“crossref”,“first page”:“1456”,“doi”:“10.1109\/TMECH.2018.2823320”,“article-title”:“通过隐半马尔可夫模型诊断和预测退化过程”,“volume”:”23“,“author”:“Liu”,“year”:“2018”,“journal-title“:”IEEE\/ASME Mechatronics Transactions“},{”key“:“10.1016\/j.eswa.2022.117758_b0115”,“doi-asserted-by”:“crossref”,“first page”:“67”,“doi”:“10.3389\/fnbot.2017.0067”,“article-title”:“用隐藏的半马尔可夫模型和高斯过程分割连续运动”,“volume”::“11”,“author”:“Nakamura”,“year”:“2017”,“journal-title“:“神经机器人学的前沿”},{“issue”:“2”,“key”:“10.1016\/j.eswa.2022.117758_b0120”,“doi-asserted-by”:“crossref”,“first page”:“173”,《doi》:“10.1080\/10910344.2012.673958”,“article-title”:“钛合金滚珠螺旋铣削制孔”,“卷”:“16”,“作者”:“Olevera”,“年份”:“2012”,“期刊标题”:“机械加工科学与技术”},{“关键字”:“10.106\/j-eswa.2022.1 17758_b 0125“”,“doi-asserted-by”:“crossref”,“doi”:“10.1016\/j.ijmachtools.2021.103801”,“article-title”:“近净形状零件LPBF Inconel 718铣削过程中切削力与各向异性特征的关系”,“volume”:“170”,“author”:“P\u00e9rez-Ruiz”,“year”:“2021”,《journal-title》:“International journal of Machine Tools and Manufacture”},{“key”:“10.1016\/j.eswa.2022.117758_b0130”,“series-title”:“计算、信息、通信和应用的新兴研究”,“首页”:“197”,“article-title”:《工业4.0研究人员计算机数控机床制造书法板》,“author”:“Praveen”,“year”:“2022”},{“key”:,“series-title”:“计算机视觉和模式识别IEEE\/CVF会议论文集”,“首页”:“658”,“article-title”:“并集上的广义交集:包围盒回归的度量和损失”,“author”:“Rezatofighi”,“year”:“2019”},{“key”:”10.1016\/j.eswa.2022.117758_b0140“,“unstructured”:“Ryan,M.S.,&Nudd,G。R.(1993)。维特比算法。“},{”issue“:”10“,”key“:”10.1016\/j.eswa.2022.117758_b0145“,”doi-asserted-by“:”crossref“,”first page“:“3209”,“doi”:“10.18494\/SAM.2020.2860”,“article-title”:“使用mel-frequency倒谱系数进行语音识别和标记”,“volume”:“32”,“author”:“Sheu”,“year”:“2020”,“journal-title“:”Sensors and Materials“}”,{“key”:”10.1016 \/j.eswa.2022.117758_b0150“,”doi-asserted-by“:”crossref“,”unstructured“:”Ubaidi,U.,&Dewi,N.P.(2019年11月)。基于梅尔倒谱系数和隐马尔可夫模型的巴萨马杜拉语音模式识别。《物理学杂志:会议系列》(第1375卷,第1期,第012057页)。IOP发布。“,”DOI“:“10.1088\/1742-6596\/1375\/1012057”},{“key”:“10.1016\/j.eswa.2022.117758_b0155”,“DOI-asserted-by”:“crossref”,“unstructured”:“Wibawa,I.D.G.Y.A.,&Darmawan,I.D.M.B.A.(2021)在wiramapraharsini中使用mel频率倒谱系数和动态时间扭曲实现音频识别。《物理学杂志:会议系列》(第1722卷,第1期,第012014页)。IOP发布。“,”DOI“:”10.1088\/1742-6596\/1722\/1012014“},{”issue“:”5“,”key“:”101016\/j.eswa.2022.117758_b0160“,”DOI-asserted-by“:”crossref“,”first-page:“501”,“DOI”:“10.1360\/N112017-00216”,“article-title”:“资源约束的深度学习:挑战与实践”,“volume”:“48”,“author”:“Wu”,“year”:“2018”“,”新闻标题“:”中国科学信息“},{“issue”:“5\u20138”,“key”:“10.1016\/j.eswa.2022.117758_b0165”,“doi-asserted-by”:“crossref”,“首页”:“2027”,“doi”:“101007\/s00170-016-9548-6”,“article-title”:“基于声发射和隐式半马尔可夫模型的实时FDM机器状态监测与诊断”,“volume”::“国际先进制造技术杂志”},{“key”:“10.1016\/j.eswa.2022.117758_b0170”,“doi-asserted-by”:“crossref”,“doi”:“101016\/j.cie.2021.107430”,《article-title》:“通过隐半马尔可夫模型识别机器状态”,“volume”:”158“,“author”:“Yang”,“year”:“2021”,“Journal-title”:“Computers&Industrial Engineering”},{“issue”:“2”,“key”:“10.1016\/j.eswa.2022.117758_b0175”,“doi-asserted-by”:“crossref”,“首页”:“215”,“doi”:“101016\/j.artint.2009.11.011”,“article-title”:“隐半马尔可夫模型”,“volume”:”174“,“author”:“Yu”,“year”:“2010”,“journal-title“:”“Artificial Intelligence”},{“key _b0180“,”doi-asserted-by“:”crossref“,”doi“:“10.1016\/j.ymssp.2020.107582”,“article-title”:“一种新的快速熵图及其在滚动轴承故障诊断中的应用”,“volume”:“154”,“author”:“Zhang”,“year”:“2021”,“journal-title“:”Mechanical Systems and Signal Processing“},{”issue“:”1“,”key“:”10.1016\/j.eswa.2022.117758_b0190“,”doi-asserted-by“:”crossref“,”first-page:“69”,“doi”:“10.1109\/TII.2017.2723943”,“article-title”:“通过具有相关持续时间的隐藏半马尔可夫模型进行在线刀具磨损监测”,“volume”:“14”,“author”:“Zhu”,“year”:“2017”,“journal-title“:”IEEE Transactions on Industrial Informatics“}],“container-title:“https:\/\/api.elsevier.com/content\/article\/PII:S0957417422010363?httpAccept=text\.xml”,“content-type”:“text\/xml”,“content-version”:“vor”,“intended-application”:“text-mining”},{“URL”:“http:\/\-api.elsever.com\/content\/artracle\/PI:S09544174220103?httpAccess=text\/plain”:“vor”,“intended-application”:“text-mining”}],“deposed”:{“date-parts”:[[2023,11,18]],“date-time”:“2023-11-18T20:03:35Z”,“timestamp”:1700337815000},“score”:1,“resource”:{primary“:{”URL“https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0957417422010363”},”subtitle“:[],”shorttitle“:[],”issued“日期:{parts“:[[2022,11]]},”references-count“:35,“alternative-id”:[“S09577417422010363”],“URL”:“http://\/dx.doi.org\/10.1016\/j.eswa.2022.117758”,“关系”:{},“ISSN”:[”0957-4174“],“ISSN-type”:[{“值”:“0957-4173”,“类型”:“打印”}],“主题”:[],“发布”:{“日期段”:[2022,11]},,“name”:“publisher”,“label”:“本文由”},{“value”维护”:“基于改进的隐式半马尔可夫模型的铣削过程中时序信号的建模和标记”,“name”:“articlettle”,“label”:“Article Title”},{“value”:“Expert Systems with Applications”,“name”:“journitle”,“label”:“Journal Title”},{“value”:“https://doi.org/10.1016\/j.eswa.202217758”,“name”:“articlelink”,“label”:“CrossRef DOI link to publisher maintained version”},{“value”:“article”,“name”:“content_type”,“label”:“content-type”}