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101.
在采矿方案优选的研究中,其决策的正确与否,取决于参与计算的采矿法的定量、定性指标个数以及这些指标的权数。本文通过实例分析了指标权数的波动对采矿方案优劣排序的影响,以减小决策的风险。 相似文献
102.
《Expert systems with applications》2014,41(10):4670-4679
Failure mode and effects analysis (FMEA) is a widely used risk assessment tool for defining, identifying and eliminating potential failures or problems in products, process, designs and services. Two critical issues of FMEA are the representation and handling of various types of assessments and the determination of risk priorities of failure modes. Many different approaches have been suggested to enhance the performance of traditional FMEA; however, deficiencies exist in these approaches. In this paper, based on a more effective representation of uncertain information, called D numbers, and an improved grey relational analysis method, grey relational projection (GRP), a new risk priority model is proposed for the risk evaluation in FMEA. In the proposed model, the assessment results of risk factors given by FMEA team members are expressed and modeled by D numbers. The GRP method is used to determine the risk priority order of the failure modes that have been identified. Finally, an illustrative case is provided to demonstrate the effectiveness and practicality of the proposed model. 相似文献
103.
《Expert systems with applications》2014,41(18):8234-8244
Association rule mining is a data mining technique for discovering useful and novel patterns or relationships from databases. These rules are simple to infer and intuitive and can be easily used for classification in any domain that requires explanation for and investigation into how the classification works. Examples of such areas are medicine, agriculture, education, etc. For such a system to find wide adoptability, it should give output that is correct and comprehensible. The amount of data has been growing very fast and so has the search space of these problems. So we need to change traditional methods. This paper discusses a rule mining classifier called DA-AC (dynamic adaptive-associative classifier) which is based on a Dynamic Particle Swarm Optimizer. Due to its seeding method, exemplar selection, adaptive parameters, dynamic reconstruction of regions and velocity update, it avoids premature convergence and provides a better value in every dimension. Quality evaluation is done both for individual rules as well as entire rulesets. Experiments were conducted over fifteen benchmark datasets to evaluate performance of proposed algorithm in comparison with six other state-of-the-art non associative classifiers and eight associative classifiers. Results demonstrate competitive performance of proposed DA-AC while considering predictive accuracy and number of mined patterns as parameters. The method was then applied to predict life expectancy of post operative thoracic surgery patients. 相似文献
104.
105.
运用应力分析、疲劳分析的理论,综合专家学者的知识和经验,针对现代化大型联合企业技术管理的现状,提出了建立在线化工设备及管道安全评定中疲劳分析的专家系统方法,并编制了初级的软件。用简化试验来模拟一条高温高压蒸汽管线的疲劳裂纹扩展,并用之考评本软件。 相似文献
106.
《Expert systems with applications》2014,41(7):3223-3236
Clustering is the process of organizing objects into groups whose members are similar in some way. Most of the clustering methods involve numeric data only. However, this representation may not be adequate to model complex information which may be: histogram, distributions, intervals. To deal with these types of data, Symbolic Data Analysis (SDA) was developed. In multivariate data analysis, it is common some variables be more or less relevant than others and less relevant variables can mask the cluster structure. This work proposes a clustering method based on fuzzy approach that produces weighted multivariate memberships for interval-valued data. These memberships can change at each iteration of the algorithm and they are different from one variable to another and from one cluster to another. Furthermore, there is a different relevance weight associated to each variable that may also be different from one cluster to another. The advantage of this method is that it is robust to ambiguous cluster membership assignment since weights represent how important the different variables are to the clusters. Experiments are performed with synthetic data sets to compare the performance of the proposed method against other methods already established by the clustering literature. Also, an application with interval-valued scientific production data is presented in this work. Clustering quality results have shown that the proposed method offers higher accuracy when variables have different variabilities. 相似文献
107.
概述了苯胺产品硝化工艺、还原工艺及催化剂;对国内外苯胺装置技术有消耗进行了比较;阐述了国内外苯胺生产及消费;对吉化苯胺装置优势作了重点论述。 相似文献
108.
我国水泥工业的生产特点是资源和能源消耗较高、环境负荷较大。如何进行环境负荷的合理分析评价,这对企业实施清洁生产和循环经济运行非常重要。作者采用因子分析方法,选取10家不同生产工艺(立窑、湿法窑和新型干法窑)的水泥生产企业,进行了环境负荷的特点分析和综合评价研究。结果表明:(1)用因子分析方法对水泥企业进行环境影响的分析评价是可行的;(2)从生产技术、资源消耗、环境酸化和人体健康等主要反映环境负荷影响的综合指数方面的分析表明.新型干法工艺具有显著的优势.而湿法窑和立窑工艺则明显处于不利的地位。 相似文献
109.
周维彪 《化学工业与工程技术》2006,27(5):55-57
对化工槽车自动化洗涤装置失效及其原因进行了分析,指出洗槽机的冲洗和抽水不匹配、洗涤工艺不满足设计要求、硬件出现故障及化学品性质的影响是导致洗涤失效的主要原因,提出了完善现场流程、优化工艺操作、使用自动化控制技术、加强设备维护和保养等解决失效的措施。 相似文献
110.
The influence of grinding technique on the liberation of clinker minerals and cement properties 总被引:1,自引:0,他引:1
This paper describes a study of the relationship between the physical, chemical and mineralogical parameters of cement products obtained by different grinding mechanisms namely high pressure grinding rolls (HPGR) and ball milling, and their effects upon the properties of cements prepared from the ground clinker. Samples were prepared as narrow size fractions and also as distribution samples. Characterization parameters were ascertained by using XRF, laser sizing, Blaine and BET surface area and image analysis methods. HPGR grinding resulted in higher degrees of liberation of clinker phases arising from the intergranular breakage along the grain boundaries compared to ball mill grinding. As for service properties, water demand of HPGR products was higher than ball mill products resulting from high micro fissured structure. Despite high liberation of particularly alite mineral in HPGR grinding, the compressive strength of ball mill products was slightly higher than HPGR products for narrow size samples. Finally, particle size distribution effect on strength was more obvious for distribution samples; generally ball milling gave higher strength values. 相似文献