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case-based reasoning(CBR) Model for Ultra-Fast Cooling in Plate Mill

Chinese Journal of Mechanical Engineering 2014年第6期27卷 1264-1271页

作者： HU Xiao WANG Zhaodong WANG Guodong State Key Laboratory of Rolling and Automation Northeastern University

New generation thermo-mechanical control process（TMCP） based on ultra-fast cooling is being widely adopted in plate mill to product high-performance steel material at low cost. Ultra-fast cooling system is complex because of optimizing the temperature control error generated by heat transfer mathematical model and process parameters. In order to simplify the system and improve the temperature control precision in ultra-fast cooling process, several existing models of case-based reasoning（CBR） model are reviewed. Combining with ultra-fast cooling process, a developed R5 CBR model is proposed, which mainly improves the case representation, similarity relation and retrieval module. Certainty factor is defined in semantics memory unit of plate case which provides not only internal data reliability but also product performance reliability. Similarity relation is improved by defined power index similarity membership function. Retrieval process is simplified and retrieval efficiency is improved apparently by windmill retrieval algorithm. The proposed CBR model is used for predicting the case of cooling strategy and its capability is superior to traditional process model. In order to perform comprehensive investigations on ultra-fast cooling process, different steel plates are considered for the experiment. The validation experiment and industrial production of proposed CBR model are carried out, which demonstrated that finish cooling temperature（FCT） error is controlled within±25℃ and quality rate of product is more than 97%. The proposed CBR model can simplify ultra-fast cooling system and give quality performance for steel product.

关键词： ultra-fast cooling plate mill case-based reasoning case representation similarity relation retrieval module

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case-based reasoning for Slope Stability Evaluation and Its Application

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Journal of Wuhan University of Technology(Materials Science) 2001年第4期16卷 62-65页

作者：刘沐宇 Wuhan Univ Technol Inst Civil Engn & Architecture Wuhan 430070 Peoples R China

Slope is a non-linear and uncertain kinetic system affected by many factors. In view of the incompleteness and uncertainty of the information of slope stability evaluation, a new method of slop stability evaluation by using case-based reasoning is presented. Considering the sensitivity of attribute weights to the environment, the algorithm of attribute weights is set up on the basis of the concept of changeable weights. Calculating the similarity between target case of the slope and base case, the stability of target case is evaluated. It is shown from examples that the method is simple, visual, practical, and convenient for use.

关键词： case-based reasoning slope slope stability comprehensive evaluation

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Endpoint temperature prediction of molten steel in RH using improved case-based reasoning

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International Journal of Minerals,Metallurgy and Materials 2013年第12期20卷 1148-1154页

作者： Kai Feng Hong-bing Wang An-jun Xu Dong-feng He School of Metallurgy and Ecology Engineering University of Science and Technology Beijing State Key Laboratory of Advanced Metallurgy University of Science and Technology Beijing School of Computer and Communication Engineering University of Science and Technology Beijing

An improved case-based reasoning （CBR） method was proposed to predict the endpoint temperature of molten steel in Ruhrstahl Heraeus （RH） process. Firstly, production data were analyzed by multiple linear regressions and a pairwise comparison matrix in analytic hierarchy process （AHP） was determined by this linear regression＇s coefficient. The weights of various influencing factors were obtained by AHP. Secondly, the dividable principles of case base including ＂0-1＂ and ＂breakpoint＂ were proposed, and the case base was divided into several homogeneous parts. Finally, the improved CBR was compared with ordinary CBR, which is based on the even weight and the single base. The results show that the improved CBR has a higher hit rate for predicting the endpoint temperature of molten steel in RH.

关键词： steelmaking degassing case-based reasoning analytic hierarchy process temperature prediction

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A case-based reasoning approach for task-driven spatial-temporally aware geospatial data discovery through geoportals

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International Journal of Digital Earth 2017年第11期10卷 1146-1165页

作者： Ming Li Wei Guo Lian Duan Xinyan Zhu Institute of Space Science and Technology Nanchang UniversityNanchangPeople’s Republic of China State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanPeople’s Republic of China Collaborative Innovation Center of Geospatial Technology WuhanPeople’s Republic of China Key Laboratory of Environment Change and Resources Use in Beibu Gulf(Guangxi Teachers Education University) Ministry of EducationGuangxiPeople’s Republic of China Guangxi Key Laboratory of Earth Surface Processes and Intelligent Simulation(Guangxi Teachers Education University) GuangxiPeople’s Republic of China

There is a critical need to develop a means for fast,task-driven discovery of geospatial data found in *** geoportals,however,only provide metadata-based means for discovery,with little support for task-driven discovery,especially when considering spatial–temporal *** address this gap,this paper presents a case-based reasoning-supported Geospatial Data Discovery(CBR-GDD)method and implementation that accesses geospatial data by *** advantages of the CBR-GDD approach is that it builds an analogue reasoning process that provides an internal mechanism bridging tasks and geospatial data with spatial–temporal awareness,thus providing solutions based on past *** CBR-GDD approach includes a set of algorithms that were successfully implemented via three components as an extension of geoportals:ontology-enhanced knowledge base,similarity assessment model,and case retrieval nets.A set of experiments and case studies validate the CBR-GDD approach and application,and demonstrate its efficiency.

关键词： case-based reasoning geospatial data discovery ontology geoportals spatial–temporal awareness

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A case-based reasoning method of recognizing liquefaction pits induced by 2021 M_(W) 7.3 Madoi earthquake

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Earthquake Research Advances 2023年第1期3卷 61-69页

作者： Peng Liang Yueren Xu Wenqiao Li Yanbo Zhang Qinjian Tian Key Laboratory of Earthquake Prediction Institute of Earthquake ForecastingChina Earthquake AdministrationBeijing100036China China Earthquake Disaster Prevention Center China Earthquake AdministrationBeijing100029China

Earthquake-triggered liquefaction deformation could lead to severe infrastructure damage and associated casualties and property *** present,there are few studies on the rapid extraction of liquefaction pits based on high-resolution satellite ***,we provide a framework for extracting liquefaction pits based on a case-based reasoning ***,five covariates selection methods were used to filter the 11 covariates that were generated from high-resolution satellite images and digital elevation models(DEM).The proposed method was trained with 450 typical samples which were collected based on visual interpretation,then used the trained case-based reasoning method to identify the liquefaction pits in the whole study *** performance of the proposed methods was evaluated from three aspects,the prediction accuracies of liquefaction pits based on the validation samples by kappa index,the comparison between the pre-and post-earthquake images,the rationality of spatial distribution of liquefaction *** final result shows the importance of covariates ranked by different methods could be ***,the most important of covariates is *** selecting five most important covariates,the value of kappa index could be about 96%.There also exist clear differences between the pre-and post-earthquake areas that were identified as liquefaction *** predicted spatial distribution of liquefaction is also consistent with the formation principle of liquefaction.

关键词： Coseismic liquefaction case-based reasoning K-nearest neighbor Covariates selection 2021 M_(w)7.3 Madoi earthquake Qinghai-Tibetan Plateau

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Development of High-speed Machining Database with case-based reasoning

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厦门大学学报（自然科学版） 2002年第S1期41卷 48-49页

作者： WANG Zun-tong, LIU Zhan-qiang, AI Xing (School of Mechanical Engineering, Shandong University, Jinan 250061, China)

Applying high-speed machining technology in shop floor has many benefits, such as manufacturing more accurate parts with better surface finishes. The selection of the appropriate machining parameters plays a very important role in the implementation of high-speed machining technology. The case-based reasoning is used in the developing of high-speed machining database to overcome the shortage of available high-speed cutting parameters in machining data handbooks and shop floors. The high-speed machining database developed in this paper includes two main components: the machining database and the case-base. The machining database stores the cutting parameters, cutting tool data, work pieces and their materials data, and other relative data, while the case-base stores mainly the successfully solved cases that are problems of work pieces and their machining. The case description and case retrieval methods are described to establish the case-based reasoning high-speed machining database. With the case retrieval method, some succeeded cases similar to the new machining problem can be retrieved from the case-base. The solution of the most matched case is evaluated and modified, and then it is regarded as the proposed solution to the new machining problem. After verification, the problem and its solution are packed up into a new case, and are stored in the case-base for future applications.

关键词： case-based reasoning high-speed machining database case

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case-based reasoning Topological Complexity Calculation of Design for Components

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Journal of Modern Transportation 2001年第2期18卷 158-168页

作者：李高正黄小平师汉民 School of Manufacturing Science and Engineering Huazhong University of Science and Technology

Directly calculating the topolo gi cal and geometric complexity from the STEP (standard for the exchange of product model data, ISO 10303) file is a huge task. So, a case-based reasoning approac h is presented, which is based on the similarity between the new component and t he old one, to calculate the topological and geometric complexity of new compone nts. In order to index, retrieve in historical component database, a new way of component representation is brought forth. And then an algorithm is given to ext ract topological graph from its STEP files. A mathematical model, which describe s how to compare the similarity, is discussed. Finally, an example is given to s how the result.

关键词： topological complexity component representation case-based reasoning

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case-based reasoning in Conceptual Design

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Computer Aided Drafting,Design and Manufacturing 1998年第2期8卷 29-37页

作者： Gao Jianfeng Bu Fenglin Zhang Shensheng (CIT Lab in Computer Science Dept., Shanghai JiaoTong University, Shanghai 200030, PRC )He Yuanjun (Shipbuilding Technology Research Institute of CSSC, Shanghai 200032, PRC)

The framework for supporting conceptual design using case-based reasoning is studied. Adesign knowledge representation scheme is presented. It is capable of representing both generalized and specific design knowledge. A two-phase case retrieval strategy, called index elaboration, is described which supports both requirement-function transformation and function-feature transformation at conceptual design stage. We propose a prototype system and discuss in detail the realization of supporting conceptual design by CBR.

关键词： conceptual design case-based reasoning design prototype

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case-based reasoning IN PRODUCT INNOVATION DESIGN

CASE-BASED REASONING IN PRODUCT INNOVATION DESIGN

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2006年中国机械工程学会年会暨中国工程院机械与运载工程学部首届年会

作者： WANG Wei, ZHAO Jianghong State Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan University, Changsha, 410082, China

The present research depicts the process and patterns of product innovation design with case-based reasoning (CBR) by a cognitive approach. By using protocol analysis and sketch analysis, the present

关键词： Product design design innovation CAD case-based reasoning cognition experiment.

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Research of Genetic Training Algorithm for Identifying Mechanical Failure Modes within the Framework of case-based reasoning

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Chinese Journal of Aeronautics 2005年第2期18卷 122-129页

作者：徐元铭张洋陈丽娜 School of Aeronautical Science and Engineering Technology Beijing University of Aeronautics and Astronautics Beijing 100083 China

The combination of case-based reasoning （CBR） and genetic algorithm （GA） is considered in the problem of failure mode identification in aeronautical component failure analysis. Several imple- mentation issues such as matching attributes selection, similarity measure calculation, weights learning and training evaluation policies are carefully studied. The testing applications illustrate that an accuracy of 74.67 % can be achieved with 75 balanced-distributed failure cases covering 3 failure modes, and that the resulting learning weight vector can be well applied to the other 2 failure modes, achieving 73.3 % of recognition accuracy. It is also proved that its popularizing capability is good to the recognition of even more mixed failure modes.

关键词： failure mode identification case-based reasoning genetic algorithm learning train

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