{"currentpage":1,"firstResult":0,"maxresult":10,"pagecode":5,"pageindex":{"endPagecode":5,"startPagecode":1},"records":[{"abstractinfo":"板带轧制咬钢过程可看作轧机液压压下厚度控制(HAGC)系统对阶跃的负载力响应的过程,含有丰富的信息,能较全面地反映系统动态性能,是系统性能监测的首选信号.为解决实际研究中,缺乏对无历史记录故障的认识,利用建模仿真技术建立系统咬钢过程数学模型,模拟各种故障状态下系统输出信息.仿真结果可使得故障分析有据可依,故障研究具有预测性.仿真结果与实际生产数据的对照表明所建模型可满足精度要求及故障分析的合理性.","authors":[{"authorName":"","id":"aacf745e-4be8-4192-99c6-fe70cda4ccbf","originalAuthorName":"董敏"},{"authorName":"刘才","id":"a4f00b74-f07a-49b1-89e8-9f48e0aebdff","originalAuthorName":"刘才"}],"doi":"10.3969/j.issn.1001-7208.2005.03.008","fpage":"26","id":"253e3b47-0999-4d27-af67-a3f3e18f01ff","issue":"3","journal":{"abbrevTitle":"SHJS","coverImgSrc":"journal/img/cover/SHJS.jpg","id":"59","issnPpub":"1001-7208","publisherId":"SHJS","title":"上海金属"},"keywords":[{"id":"38a161fd-243f-471c-abd7-833f638c8fce","keyword":"咬钢过程","originalKeyword":"咬钢过程"},{"id":"fd33d12f-d7fd-43e2-8f98-b8255f58e403","keyword":"HAGC系统","originalKeyword":"HAGC系统"},{"id":"351bae34-7497-4e48-b3c5-9098bfeb4694","keyword":"数学模型","originalKeyword":"数学模型"},{"id":"69f101d0-01ec-4609-80c3-c46fb8d74702","keyword":"故障仿真","originalKeyword":"故障仿真"}],"language":"zh","publisherId":"shjs200503008","title":"咬钢过程轧机液压压下系统动态建模与故障仿真","volume":"27","year":"2005"},{"abstractinfo":"针对板带轧机液压AGC系统在线故障诊断问题,建立了一种基于非线性自回归滑动平均模型(NARMA)的递归神经网络,通过AIC定阶法确定模型阶次.运用生产实际数据,通过动态学习算法完成对网络的训练,使网络映射系统的动力学特性.该网络模型避免了故障的自学习,能够很好地实现故障检测.试验研究证明了该神经网络方法进行轧机液压AGC系统在线故障诊断的可行性和有效性.","authors":[{"authorName":"","id":"ab6de779-d07f-486a-bbe0-8a9fdf0e2c87","originalAuthorName":"董敏"},{"authorName":"刘才","id":"7062c546-24a3-465a-be08-cd02ef4422fb","originalAuthorName":"刘才"},{"authorName":"李国友","id":"ec3e1b60-bd84-4b60-a972-a0a74e095218","originalAuthorName":"李国友"},{"authorName":"张伟","id":"c9572bed-640f-4d78-bfb4-406438f4b774","originalAuthorName":"张伟"}],"doi":"","fpage":"45","id":"3d393ddc-c68a-4a14-bab0-60551a478651","issue":"5","journal":{"abbrevTitle":"GT","coverImgSrc":"journal/img/cover/GT.jpg","id":"27","issnPpub":"0449-749X","publisherId":"GT","title":"钢铁"},"keywords":[{"id":"5c9f8659-e5c1-4f46-a1d0-1a6ab90b22b3","keyword":"液压AGC","originalKeyword":"液压AGC"},{"id":"8f945f97-eb2f-4854-8c9d-50c6506f552b","keyword":"NARMA","originalKeyword":"NARMA"},{"id":"a185c2db-6af8-44a1-aad3-ee2cafe418ca","keyword":"递归神经网络","originalKeyword":"递归神经网络"},{"id":"8a66f100-3e54-493f-8226-ca00daa636f0","keyword":"故障诊断","originalKeyword":"故障诊断"}],"language":"zh","publisherId":"gt200505012","title":"轧机液压AGC系统基于神经网络的传感器故障诊断技术","volume":"40","year":"2005"},{"abstractinfo":"针对压力调宽机在轧制连铸坯时出现的夹送辊输送打滑现象,运用有限元软件DEFORM建立某钢厂1880SSP压力调宽机定宽轧制模型.将模拟结果与理论计算对比,找出了打滑的主要原因是\"狗骨\"变形纵向高度差值过大.通过对砧型3个阶段的研究,提出新的砧型,使生成的\"狗骨\"变形满足夹送辊输送时的咬入条件,并进行了试验得到了验证.","authors":[{"authorName":"李俊慧","id":"ef8739e2-4324-476c-9d6c-b0fcae4fe01f","originalAuthorName":"李俊慧"},{"authorName":"刘才","id":"41cf9956-502d-44dc-942d-c6d3e2c513f6","originalAuthorName":"刘才"},{"authorName":"","id":"5b2e07c3-a2d9-472d-a562-4b3896cb546f","originalAuthorName":"董敏"},{"authorName":"江小军","id":"e9feb5dc-2c45-4576-b39c-e6fcce85ca6a","originalAuthorName":"江小军"},{"authorName":"王向","id":"2ca593e5-78c2-4f41-8bc3-f1eee25bec48","originalAuthorName":"王向"}],"doi":"","fpage":"57","id":"59690b39-b516-4a50-a946-37abc30c508a","issue":"5","journal":{"abbrevTitle":"GT","coverImgSrc":"journal/img/cover/GT.jpg","id":"27","issnPpub":"0449-749X","publisherId":"GT","title":"钢铁"},"keywords":[{"id":"d3fb3186-d3e6-4d7f-bcde-6f6a90fd07d8","keyword":"SSP压力调宽机","originalKeyword":"SSP压力调宽机"},{"id":"e6868b8c-dd3b-4c2a-bc65-439cd4ae64c4","keyword":"\"狗骨\"变形","originalKeyword":"\"狗骨\"变形"},{"id":"51619233-16a4-4329-a6c1-baf16bdb3193","keyword":"砧型","originalKeyword":"砧型"}],"language":"zh","publisherId":"gt201005013","title":"1880压力调宽机砧型的改造研究","volume":"45","year":"2010"},{"abstractinfo":"分别用电子束焊(EBW)及钨极氩弧焊(GTA)两种焊接方法对Fe-Al基合金试样进行了焊接性研究. 结果表明, 用EBW方法可以成功地得到无裂纹与缺陷的Fe-Al基合金焊缝;对GTA方法, 需采用预热及焊后缓冷工艺可有效地阻止延迟冷裂纹的产生.","authors":[{"authorName":"高德春","id":"83208509-d1ff-4bd4-9e59-9edcda117859","originalAuthorName":"高德春"},{"authorName":"","id":"970b5d2f-d4f5-4be9-a003-823bc6d9d3fc","originalAuthorName":"董敏"}],"categoryName":"|","doi":"","fpage":"87","id":"841b87d3-277b-4c0a-ba8b-511cfcd22ea7","issue":"1","journal":{"abbrevTitle":"JSXB","coverImgSrc":"journal/img/cover/JSXB.jpg","id":"48","issnPpub":"0412-1961","publisherId":"JSXB","title":"金属学报"},"keywords":[{"id":"a971d9a3-1ad9-4c82-93f5-3bf3a639e39c","keyword":"Fe-Al基合金","originalKeyword":"Fe-Al基合金"},{"id":"602c0178-3868-4bff-915c-c755158c910f","keyword":"null","originalKeyword":"null"}],"language":"zh","publisherId":"0412-1961_2000_1_13","title":"Fe-Al基金属间化合物的焊接性","volume":"36","year":"2000"},{"abstractinfo":"作为现代轧机核心技术的板厚控制系统,其性能直接决定了轧制产品质量,提高该系统的控制性能具有重要意义.为此,建立了考虑延时环节的板厚控制模型,通过在Smith预估控制器的反馈回路串接低通滤波器对系统进行预估控制,用来对控制器进行补偿,以提高控制系统鲁棒性.针对改进后系统可调参数多,参数调整困难的问题,提出通过遗传算法程序进行PI控制器及滤波补偿器参数的整定.仿真研究结果表明,基于遗传算法参数寻优的Smith预估控制器低通滤波补偿算法提高了系统鲁棒性和系统控制精度,达到了期望的控制性能.","authors":[{"authorName":"","id":"219d5e10-53fb-443b-9f28-292fb774a191","originalAuthorName":"董敏"},{"authorName":"广山","id":"fd362cb8-3ed0-4855-ab2c-e6a9fb4cc28f","originalAuthorName":"董广山"}],"doi":"10.13228/j.b0yuan.issn1001-0963.20130452","fpage":"31","id":"8d4157f9-23fb-4714-8d62-a96f76ac6d75","issue":"3","journal":{"abbrevTitle":"GTYJ","coverImgSrc":"journal/img/cover/GTYJ.jpg","id":"29","issnPpub":"1001-1447","publisherId":"GTYJ","title":"钢铁研究"},"keywords":[{"id":"8ef7e1ab-1456-4f6c-a956-a1dd2acf1666","keyword":"板厚控制","originalKeyword":"板厚控制"},{"id":"532872bc-25f2-423a-88b4-fb9185535780","keyword":"预估补偿","originalKeyword":"预估补偿"},{"id":"fa8fa6f2-d602-48ff-8d51-394289cca980","keyword":"低通滤波","originalKeyword":"低通滤波"},{"id":"3283ab3c-de62-479b-8f6d-66e7baea37b7","keyword":"遗传算法","originalKeyword":"遗传算法"}],"language":"zh","publisherId":"gtyjxb201503007","title":"采用Smith预估低通滤波补偿的AGC控制系统","volume":"27","year":"2015"},{"abstractinfo":"针对板带轧机厚度控制系统的参数变化导致故障诊断困难及实际故障模拟费用高、危险性大等问题,在充分考虑轧机机体各部分的质量、刚度和阻尼分配的情况下,应用模块化建模的方法,建立了轧机厚度控制系统的三自由度动态仿真模型.此模型可以更完善地反映系统各参数变化对系统响应的影响,为一种具有实用价值的故障模拟模型.应用所建模型的系统动态响应,进行典型故障的模拟研究,所获取的故障特征可为系统故障预测和诊断提供依据.试验数据验证了模型的正确性和故障模拟的可行性.","authors":[{"authorName":"","id":"3efc1158-f1e8-4362-b8a9-554ed044f064","originalAuthorName":"董敏"},{"authorName":"周彬","id":"fdd3b29a-0be7-4ea0-ac84-a03afb776fc2","originalAuthorName":"周彬"}],"doi":"","fpage":"46","id":"8e4affcd-c103-422c-a02f-0a28aee54db6","issue":"1","journal":{"abbrevTitle":"GT","coverImgSrc":"journal/img/cover/GT.jpg","id":"27","issnPpub":"0449-749X","publisherId":"GT","title":"钢铁"},"keywords":[{"id":"aec9ccec-0d02-4316-a793-2faf9fb590c2","keyword":"厚度自动控制系统","originalKeyword":"厚度自动控制系统"},{"id":"9d55bf65-bb0b-4839-a640-95bca1c09e2a","keyword":"动态模型","originalKeyword":"动态模型"},{"id":"bfdf4019-a389-465f-a567-f554a9e0c00e","keyword":"系统仿真","originalKeyword":"系统仿真"},{"id":"7adbf9a8-b914-415a-b0c1-3f58b8b390b9","keyword":"故障模拟","originalKeyword":"故障模拟"}],"language":"zh","publisherId":"gt201301009","title":"板带轧机厚控系统三自由度建模与故障模拟","volume":"48","year":"2013"},{"abstractinfo":"提出了一种基于小波分析的HAGC系统传感器故障诊断方法.通过建立系统的MA模型,建立残差信号,利用离散小波变换对残差信号进行多分辨率分析.通过残差信号的故障高低频特性,提取故障敏感特征,实现了传感器故障时间、故障原因、故障程度的诊断.仿真研究表明,该方法凸现故障特征,时域定位准确,不但适用于突变故障,对渐变故障同样有效.","authors":[{"authorName":"","id":"1fe9c161-b006-49fe-8179-d3e1559b557f","originalAuthorName":"董敏"},{"authorName":"刘才","id":"c58e7f94-8848-4605-b4ec-695efab95053","originalAuthorName":"刘才"}],"doi":"","fpage":"54","id":"bbdac154-b5b6-43c2-8230-c2115fa98591","issue":"12","journal":{"abbrevTitle":"GTYJXB","coverImgSrc":"journal/img/cover/GTYJXB.jpg","id":"30","issnPpub":"1001-0963","publisherId":"GTYJXB","title":"钢铁研究学报"},"keywords":[{"id":"cdb52e26-c81c-4578-8235-2a36b8fc9676","keyword":"HAGC","originalKeyword":"HAGC"},{"id":"edc7b18d-d07f-4b7f-8b76-908557f44f18","keyword":"传感器","originalKeyword":"传感器"},{"id":"be0a340a-f1cf-4ea4-a3ed-7d6da28adfe7","keyword":"故障诊断","originalKeyword":"故障诊断"},{"id":"98408e38-949c-4eb2-a9e3-e7012491e50c","keyword":"离散小波变换","originalKeyword":"离散小波变换"}],"language":"zh","publisherId":"gtyjxb200612014","title":"板带轧机HAGC系统基于小波变换的传感器故障诊断","volume":"18","year":"2006"},{"abstractinfo":"提出了一种基于小波分析的HAGC系统传感器故障诊断方法。通过建立系统的MA模型,建立残差信号,利用离散小波变换对残差信号进行多分辨率分析。通过残差信号的故障高低频特性,提取故障敏感特征,实现了传感器故障时间、故障原因、故障程度的诊断。仿真研究表明,该方法凸现故障特征,时域定位准确,不但适用于突变故障,对渐变故障同样有效。","authors":[{"authorName":"","id":"e443da1b-d445-408e-a991-d4af55405e9a","originalAuthorName":"董敏"},{"authorName":"刘才","id":"6e458529-fecb-4af5-89ec-70783c8adb96","originalAuthorName":"刘才"}],"categoryName":"|","doi":"","fpage":"54","id":"d45238a6-865d-43ae-94e3-5d3d3ec7213f","issue":"12","journal":{"abbrevTitle":"GTYJXB","coverImgSrc":"journal/img/cover/GTYJXB.jpg","id":"30","issnPpub":"1001-0963","publisherId":"GTYJXB","title":"钢铁研究学报"},"keywords":[{"id":"eccad81a-1f48-427d-8b59-0f6fb3528d17","keyword":"HAGC;传感器;故障诊断;离散小波变换","originalKeyword":"HAGC;传感器;故障诊断;离散小波变换"}],"language":"zh","publisherId":"1001-0963_2006_12_11","title":"板带轧机HAGC系统基于小波变换的传感器故障诊断","volume":"18","year":"2006"},{"abstractinfo":"分别用电子束焊(EBW)及钨极氩弧焊(GTA)两种焊接方法对Fe-Al基合金试样进行了焊接性研究.结果表明,用EBW方法可以成功地得到无裂纹与缺陷的Fe-Al基合金焊缝;对GTA方法,需采用预热及焊后缓冷工艺方可有效地阻止延迟冷裂纹的产生,选择中低碳CrMo钢焊丝作填充材料,使Fe3Al基合金具有较好的焊接性.同种材料,同种焊丝,在保证焊透的情况下,减小焊接电流和热输入,有利于提高材料的抗裂能力.","authors":[{"authorName":"高德春","id":"28fe4e4c-0273-4f13-a338-14bd3f433e37","originalAuthorName":"高德春"},{"authorName":"杨王玥","id":"a9443068-c6b0-42e6-91ca-c280ecf8a00d","originalAuthorName":"杨王玥"},{"authorName":"","id":"10122eda-160a-4aa1-841a-0c77caa620d6","originalAuthorName":"董敏"},{"authorName":"黄继华","id":"a3482e25-c9f0-4aa9-b994-b790f67396df","originalAuthorName":"黄继华"},{"authorName":"孙祖庆","id":"2ce08f64-a09e-4f18-bce4-ad14674e0fbb","originalAuthorName":"孙祖庆"}],"doi":"10.3321/j.issn:0412-1961.2000.01.020","fpage":"87","id":"bee0fbac-73d7-4e89-bfea-d9e6625e9cd1","issue":"1","journal":{"abbrevTitle":"JSXB","coverImgSrc":"journal/img/cover/JSXB.jpg","id":"48","issnPpub":"0412-1961","publisherId":"JSXB","title":"金属学报"},"keywords":[{"id":"638bcc80-73f1-4421-b652-505111cbd348","keyword":"Fe-Al基合金","originalKeyword":"Fe-Al基合金"},{"id":"8c3e8750-af05-4411-af7a-10df313a82fe","keyword":"电子束焊","originalKeyword":"电子束焊"},{"id":"076f3167-58aa-4920-8d6a-fa8af1f328d5","keyword":"钨极氩弧焊","originalKeyword":"钨极氩弧焊"},{"id":"b8480c87-9177-4a9d-865d-ace35ef6edff","keyword":"焊接性","originalKeyword":"焊接性"}],"language":"zh","publisherId":"jsxb200001020","title":"Fe-Al基金属间化合物的焊接性","volume":"36","year":"2000"},{"abstractinfo":"为提高轧机液压压下厚度控制系统(H AGC)建模精度,考虑系统中伺服阀流量与阀口压力之间这一典型非线性关系,应用机理建模的方法建立了轧机液压压下系统的非线性动态仿真模型。研究结果表明:与线性模型相比该非线性模型更加贴近真实系统模型,可以更加准确、完善地反应各参数变化对系统输出的响应。利用该模型对各种典型故障进行模拟研究,可为系统的故障预测和诊断提供依据。实验研究证明了所建立的非线性模型的准确性和故障分析的合理性。","authors":[{"authorName":"","id":"4e2f39bc-5e97-4df7-8d5d-8d57cfb9d09d","originalAuthorName":"董敏"},{"authorName":"宋波","id":"36bc11e3-8704-4d80-959f-b3e483a60198","originalAuthorName":"宋波"}],"doi":"10.13228/j.boyuan.issn1001-0963.20150201","fpage":"34","id":"198ffde2-7b55-47f4-aa6a-179c53c068fa","issue":"9","journal":{"abbrevTitle":"GTYJXB","coverImgSrc":"journal/img/cover/GTYJXB.jpg","id":"30","issnPpub":"1001-0963","publisherId":"GTYJXB","title":"钢铁研究学报"},"keywords":[{"id":"6c31971d-693c-4c37-9203-7edf1e148ca6","keyword":"厚度控制系统","originalKeyword":"厚度控制系统"},{"id":"6d3801a2-b84c-4dea-854b-7888f87338c0","keyword":"非线性模型","originalKeyword":"非线性模型"},{"id":"4707b616-e54d-41a7-9ef9-9fca12d3224d","keyword":"动态仿真","originalKeyword":"动态仿真"},{"id":"42a72975-3aa9-4bc4-8d67-0df4fda86fd9","keyword":"故障模拟","originalKeyword":"故障模拟"}],"language":"zh","publisherId":"gtyjxb201609007","title":"板带轧机厚控系统非线性模型与故障模拟","volume":"28","year":"2016"}],"totalpage":172,"totalrecord":1713}