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电站锅炉主要热工过程参数软测量技术研究进展 被引量:16
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作者 罗嘉 吴乐 《热力发电》 CAS 北大核心 2015年第11期1-9,13,共10页
电站锅炉某些主要热工过程参数难以实现在线实时测量,从而制约了机组的高效、经济运行。为此,本文解析了基于统计分析的主元分析法和偏最小二乘法、基于人工智能的人工神经网络(ANN)法、基于统计学习理论的支持向量机法以及模糊理论法... 电站锅炉某些主要热工过程参数难以实现在线实时测量,从而制约了机组的高效、经济运行。为此,本文解析了基于统计分析的主元分析法和偏最小二乘法、基于人工智能的人工神经网络(ANN)法、基于统计学习理论的支持向量机法以及模糊理论法的建模方法。并以球磨机负荷、煤质、风煤比、烟气含氧量、飞灰含碳量、汽包水位、主蒸汽温度、省煤器积灰、污染物排放量等参数为对象,综述了各种软测量技术的研究现状。结果显示:对于飞灰含碳量等呈非线性特征的变量,基于核主元分析(KPCA)法建立其软测量模型,效果较好;当各变量的线性关联度高时,采用偏最小二乘回归(PLSR)法建立其软测量模型更为有效;对于人工神经网络法,当实际样本空间超出训练样本空间区域时,模型输出误差较大,因此实际工业过程中需定时对基于ANN法建立的模型参数进行校正;对于支持向量机(SVM)法还无成熟的指导方法,基于经验数据则对模型精度的影响较大,最小二乘支持向量机(LS-SVM)法的建模方法与传统SVM法相比,训练时间更短,结果更具确定性,更适合工业在线建模;模糊理论法不需要被测对象的精确数学模型,但模糊系统本身不具有学习功能,如果能够将其与ANN法等人工智能方法相结合,则可提高软测量的性能。因此,软测量技术的引入,使得难以在线测量的热工过程参数监测成为可能。 展开更多
关键词 电站锅炉 热工过程参数 软测量 主元分析 偏最小二乘 神经网络 支持向量机 模糊理论法
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商务网络信息生态链价值协同创造的关键影响因素识别研究 被引量:5
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作者 张海涛 任亮 +1 位作者 刘雅姝 魏明珠 《现代情报》 CSSCI 2019年第6期16-23,58,共9页
[目的/意义]通过对商务网络信息生态链价值协同创造影响机理进行研究,识别出关键影响因素,对商务网站价值增加、顾客满意度提高以及整个生态链的价值增值有重要的参考意义,同时丰富其理论体系。[方法/过程]构建商务网络信息生态链价值... [目的/意义]通过对商务网络信息生态链价值协同创造影响机理进行研究,识别出关键影响因素,对商务网站价值增加、顾客满意度提高以及整个生态链的价值增值有重要的参考意义,同时丰富其理论体系。[方法/过程]构建商务网络信息生态链价值协同创造的过程模型,并据此建立影响因素指标体系,利用专家打分法收集原始数据,运用模糊集理论-DEMATEL法对各项因素的影响程度进行分析。[结果/结论]最终识别出顾客满意度等8项因素作为商务网络信息生态链的关键影响因素。从3个角度提出促进以及优化商务网络信息生态链价值协同创造的建议。 展开更多
关键词 商务网络 信息生态链 模糊理论-DEMATEL 关键影响因素
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Composition ship collision risk based on fuzzy theory 被引量:4
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作者 CHEN Shu Rashid Ahmad +1 位作者 Byung-Gil Lee Do Hyeun Kim 《Journal of Central South University》 SCIE EI CAS 2014年第11期4296-4302,共7页
Despite of modern navigation devices, there are problems in navigation of vessels in waterways due to the geographical structures, disturbances in water, dynamic nature, and heavily environmental influenced sea traffi... Despite of modern navigation devices, there are problems in navigation of vessels in waterways due to the geographical structures, disturbances in water, dynamic nature, and heavily environmental influenced sea traffic. Even though all vessels are equipped with modern navigation devices, the accidents are reported caused by various reasons and mainly by human factor according to investigation. We propose an effective and efficient composition collision risk calculation method for finding the collision probability and avoiding the collision between ships in possible collision situations. The proposed composition collision risk calculation method at ship's position using combination of fuzzy and fuzzy comprehensive evaluation methods. The algorithm is straightforward to implement and is shown to be effective in automatic ship handling for ships involved in complex navigation situations. Experiments are carried out with indigenous data and the results show the effectiveness of the proposed approach. 展开更多
关键词 automatic ship navigation collision risk fuzzy theory
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A model to determining the remaining useful life of rotating equipment,based on a new approach to determining state of degradation 被引量:3
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作者 Saeed RAMEZANI Alireza MOINI +1 位作者 Mohamad RIAHI Adolfo Crespo MARQUEZ 《Journal of Central South University》 SCIE EI CAS CSCD 2020年第8期2291-2310,共20页
Condition assessment is one of the most significant techniques of the equipment’s health management.Also,in PHM methodology cycle,which is a developed form of CBM,condition assessment is the most important step of th... Condition assessment is one of the most significant techniques of the equipment’s health management.Also,in PHM methodology cycle,which is a developed form of CBM,condition assessment is the most important step of this cycle.In this paper,the remaining useful life of the equipment is calculated using the combination of sensor information,determination of degradation state and forecasting the proposed health index.The combination of sensor information has been carried out using a new approach to determining the probabilities in the Dempster-Shafer combination rules and fuzzy c-means clustering method.Using the simulation and forecasting of extracted vibration-based health index by autoregressive Markov regime switching(ARMRS)method,final health state is determined and the remaining useful life(RUL)is estimated.In order to evaluate the model,sensor data provided by FEMTO-ST Institute have been used. 展开更多
关键词 remaining useful life(RUL) prognostics and health management(PHM) autoregressive markov regime switching(ARMRS) health index(HI) Dempster-Shafer theory fuzzy c-means(FCM) Kurtosis-entropy DEGRADATION
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Optimal design of structural parameters for shield cutterhead based on fuzzy mathematics and multi-objective genetic algorithm 被引量:12
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作者 夏毅敏 唐露 +2 位作者 暨智勇 程永亮 卞章括 《Journal of Central South University》 SCIE EI CAS CSCD 2015年第3期937-945,共9页
In order to improve the strength and stiffness of shield cutterhead, the method of fuzzy mathematics theory in combination with the finite element analysis is adopted. An optimal design model of structural parameters ... In order to improve the strength and stiffness of shield cutterhead, the method of fuzzy mathematics theory in combination with the finite element analysis is adopted. An optimal design model of structural parameters for shield cutterhead is formulated,based on the complex engineering technical requirements. In the model, as the objective function of the model is a composite function of the strength and stiffness, the response surface method is applied to formulate the approximate function of objective function in order to reduce the solution scale of optimal problem. A multi-objective genetic algorithm is used to solve the cutterhead structure design problem and the change rule of the stress-strain with various structural parameters as well as their optimal values were researched under specific geological conditions. The results show that compared with original cutterhead structure scheme, the obtained optimal scheme of the cutterhead structure can greatly improve the strength and stiffness of the cutterhead, which can be seen from the reduction of its maximum equivalent stress by 21.2%, that of its maximum deformation by 0.75%, and that of its mass by 1.04%. 展开更多
关键词 shield tunneling machine cutterhead structural parameters fuzzy mathematics finite element optimization
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