Mill vibration is a common problem in rolling production,which directly affects the thickness accuracy of the strip and may even lead to strip fracture accidents in serious cases.The existing vibration prediction mode...Mill vibration is a common problem in rolling production,which directly affects the thickness accuracy of the strip and may even lead to strip fracture accidents in serious cases.The existing vibration prediction models do not consider the features contained in the data,resulting in limited improvement of model accuracy.To address these challenges,this paper proposes a multi-dimensional multi-modal cold rolling vibration time series prediction model(MDMMVPM)based on the deep fusion of multi-level networks.In the model,the long-term and short-term modal features of multi-dimensional data are considered,and the appropriate prediction algorithms are selected for different data features.Based on the established prediction model,the effects of tension and rolling force on mill vibration are analyzed.Taking the 5th stand of a cold mill in a steel mill as the research object,the innovative model is applied to predict the mill vibration for the first time.The experimental results show that the correlation coefficient(R^(2))of the model proposed in this paper is 92.5%,and the root-mean-square error(RMSE)is 0.0011,which significantly improves the modeling accuracy compared with the existing models.The proposed model is also suitable for the hot rolling process,which provides a new method for the prediction of strip rolling vibration.展开更多
Similarity measure design for discrete data group was proposed. Similarity measure design for continuous membership function was also carried out. Proposed similarity measures were designed based on fuzzy number and d...Similarity measure design for discrete data group was proposed. Similarity measure design for continuous membership function was also carried out. Proposed similarity measures were designed based on fuzzy number and distance measure, and were proved. To calculate the degree of similarity of discrete data, relative degree between data and total distribution was obtained. Discrete data similarity measure was completed with combination of mentioned relative degrees. Power interconnected system with multi characteristics was considered to apply discrete similarity measure. Naturally, similarity measure was extended to multi-dimensional similarity measure case, and applied to bus clustering problem.展开更多
A GIS for ocean applications called ＂the Xiamen Atmospheric and Oceanographic Data Management and Display System （AODMDS）＂ has been designed and developed. The system is based on ArcObjects （AO）, a component-bas...A GIS for ocean applications called ＂the Xiamen Atmospheric and Oceanographic Data Management and Display System （AODMDS）＂ has been designed and developed. The system is based on ArcObjects （AO）, a component-based GIS de- velopment tool. The paper discusses in detail the storage and organization of the atmospheric and oceanographic data, the strategy and methods for the visualization and mapping of oceanographic and atmospheric data, and the implementation of the methods in AODMDS. It also discusses some advanced display control techniques that expand the functions of ArcObjects One of the techniques is ＂gradient-fill-style color-map control,＂ which provides a feasible color-rich display control for all types of raster maps. As a stand-alone desktop GIS system built on AO, AODMDS provides effective data management and powerful mapping and visualization functions for atmospheric and oceanographic data.展开更多
OPeNDAP(Open-source Project for a Network Data Access Protocol)代表开放源代码的网络数据访问协议。OPeNDAP协议提供一种通过网络请求和提供数据的方法,让所有用户使用熟悉的程序直接存取需要的数据。文章介绍了OPeNDAP常用服务器...OPeNDAP(Open-source Project for a Network Data Access Protocol)代表开放源代码的网络数据访问协议。OPeNDAP协议提供一种通过网络请求和提供数据的方法,让所有用户使用熟悉的程序直接存取需要的数据。文章介绍了OPeNDAP常用服务器,描述了基于OPeNDAP的南海物理海洋科学数据共享平台的设计与搭建:采用GDS(GrADS Data Server)、Dapper、THREDDS(Thematic Realtime Environmental Distributed Data Services)等服务器来实现海风数据、海流数据、海浪数据、Argo数据和潮位数据等南海物理海洋数据的OPeNDAP服务,最后介绍目前提供的OPeNDAP服务形式。希望借助OPeNDAP来实现分布、异构环境下南海物理海洋数据的网络无缝共享之目标。展开更多
卫星海面高度异常产品再处理的研究多集中在欧洲和美国近海,中国近海尚未有过。在产生AVISO(Archiving Validation and Interpolation of Satellite Oceanographic Data)全球0.25°多颗卫星海面高度异常产品时,只用了1/3~1/2的部分...卫星海面高度异常产品再处理的研究多集中在欧洲和美国近海,中国近海尚未有过。在产生AVISO(Archiving Validation and Interpolation of Satellite Oceanographic Data)全球0.25°多颗卫星海面高度异常产品时,只用了1/3~1/2的部分沿轨资料,给区域海洋动力学研究造成了一定的限制。本研究尝试利用多颗卫星的所有沿轨资料及25个测潮站的观测资料,通过最优插值方法产生一份新的中国近海海面高度异常资料。新资料的空间分辨率仍为0.25°,但使用了来自3颗卫星(Jason-1、Jason-2、Cryo Sat-2)的所有沿轨资料及25个测潮站的观测资料。新资料的范围为10°S^50°N、90°~160°E。新资料与AVISO资料的对比分析表明新资料更接近沿轨海面高度异常观测,同时也更接近测潮站资料。与AVISO资料相比,新资料与沿轨海面高度异常观测的均方根误差降低了10.03%,与测潮站资料的均方根误差降低了9.6%。展开更多
基金Project(2023JH26-10100002)supported by the Liaoning Science and Technology Major Project,ChinaProjects(U21A20117,52074085)supported by the National Natural Science Foundation of China+1 种基金Project(2022JH2/101300008)supported by the Liaoning Applied Basic Research Program Project,ChinaProject(22567612H)supported by the Hebei Provincial Key Laboratory Performance Subsidy Project,China。
文摘Mill vibration is a common problem in rolling production,which directly affects the thickness accuracy of the strip and may even lead to strip fracture accidents in serious cases.The existing vibration prediction models do not consider the features contained in the data,resulting in limited improvement of model accuracy.To address these challenges,this paper proposes a multi-dimensional multi-modal cold rolling vibration time series prediction model(MDMMVPM)based on the deep fusion of multi-level networks.In the model,the long-term and short-term modal features of multi-dimensional data are considered,and the appropriate prediction algorithms are selected for different data features.Based on the established prediction model,the effects of tension and rolling force on mill vibration are analyzed.Taking the 5th stand of a cold mill in a steel mill as the research object,the innovative model is applied to predict the mill vibration for the first time.The experimental results show that the correlation coefficient(R^(2))of the model proposed in this paper is 92.5%,and the root-mean-square error(RMSE)is 0.0011,which significantly improves the modeling accuracy compared with the existing models.The proposed model is also suitable for the hot rolling process,which provides a new method for the prediction of strip rolling vibration.
基金Project(2010-0020163) supported by Key Research Institute Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology, Korea
文摘Similarity measure design for discrete data group was proposed. Similarity measure design for continuous membership function was also carried out. Proposed similarity measures were designed based on fuzzy number and distance measure, and were proved. To calculate the degree of similarity of discrete data, relative degree between data and total distribution was obtained. Discrete data similarity measure was completed with combination of mentioned relative degrees. Power interconnected system with multi characteristics was considered to apply discrete similarity measure. Naturally, similarity measure was extended to multi-dimensional similarity measure case, and applied to bus clustering problem.
文摘A GIS for ocean applications called ＂the Xiamen Atmospheric and Oceanographic Data Management and Display System （AODMDS）＂ has been designed and developed. The system is based on ArcObjects （AO）, a component-based GIS de- velopment tool. The paper discusses in detail the storage and organization of the atmospheric and oceanographic data, the strategy and methods for the visualization and mapping of oceanographic and atmospheric data, and the implementation of the methods in AODMDS. It also discusses some advanced display control techniques that expand the functions of ArcObjects One of the techniques is ＂gradient-fill-style color-map control,＂ which provides a feasible color-rich display control for all types of raster maps. As a stand-alone desktop GIS system built on AO, AODMDS provides effective data management and powerful mapping and visualization functions for atmospheric and oceanographic data.
文摘OPeNDAP(Open-source Project for a Network Data Access Protocol)代表开放源代码的网络数据访问协议。OPeNDAP协议提供一种通过网络请求和提供数据的方法,让所有用户使用熟悉的程序直接存取需要的数据。文章介绍了OPeNDAP常用服务器,描述了基于OPeNDAP的南海物理海洋科学数据共享平台的设计与搭建:采用GDS(GrADS Data Server)、Dapper、THREDDS(Thematic Realtime Environmental Distributed Data Services)等服务器来实现海风数据、海流数据、海浪数据、Argo数据和潮位数据等南海物理海洋数据的OPeNDAP服务,最后介绍目前提供的OPeNDAP服务形式。希望借助OPeNDAP来实现分布、异构环境下南海物理海洋数据的网络无缝共享之目标。
文摘卫星海面高度异常产品再处理的研究多集中在欧洲和美国近海,中国近海尚未有过。在产生AVISO(Archiving Validation and Interpolation of Satellite Oceanographic Data)全球0.25°多颗卫星海面高度异常产品时,只用了1/3~1/2的部分沿轨资料,给区域海洋动力学研究造成了一定的限制。本研究尝试利用多颗卫星的所有沿轨资料及25个测潮站的观测资料,通过最优插值方法产生一份新的中国近海海面高度异常资料。新资料的空间分辨率仍为0.25°,但使用了来自3颗卫星(Jason-1、Jason-2、Cryo Sat-2)的所有沿轨资料及25个测潮站的观测资料。新资料的范围为10°S^50°N、90°~160°E。新资料与AVISO资料的对比分析表明新资料更接近沿轨海面高度异常观测,同时也更接近测潮站资料。与AVISO资料相比,新资料与沿轨海面高度异常观测的均方根误差降低了10.03%,与测潮站资料的均方根误差降低了9.6%。
