摘要
将动力用煤的煤质特性以及运行具体设备的参数和运行条件结合在一起 ,进行综合评估 ,消除单纯分析电站锅炉动力用煤煤质特性的局限性 ,利用人工神经网络模型和模糊数学进行系统分析和程序设计实现煤质工程分析方法 ,完成对实际电站锅炉用煤方案的自优化训练 ,大大提高电站锅炉用煤的综合效率 ,从而提高电厂的整体经济效益 .
The overall evaluation of coal quality linked to the parameters of operating equipments and operating conditions was discussed in dynamical system of power station boiler. It eliminated the limit of simple coal quality evaluation. The analysis of coal quality engineering was combined the model of artificial neural network with fuzzy mathematics to achieve system analysis and programme design. The self-optimize training of coal was accomplished by the project and the overall economic benefits and coal utilization were improved in power plants.
出处
《华中科技大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2003年第12期78-80,共3页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
国家自然科学基金资助项目 ( 5 0 1 760 1 9)
