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文章摘要
基于CAPSO-BPNN的计量装置运行状态预警方法
A forewarning method for running state of metering device based on CAPSO-BPNN
Received:July 06, 2015  Revised:October 29, 2015
DOI:
中文关键词: 电能计量装置  多层次模糊综合评价法  状态评价  CAPSO算法  BP神经网络  状态预警
英文关键词: electric energy metering device, multi-level fuzzy comprehensive evaluation method, state evaluation, CAPSO algorithm, BP neural network, state forewarning
基金项目:
Author NameAffiliationE-mail
CHEN Tong* Research Center for Renewable Energy Generation Engineering,Ministry of Education Hohai University hhuchentong@163.com 
FU Feng NARISTechnologySCo,SLtd  
WANG Jun NARISTechnologySCo,SLtd  
CHEN Shuang Research Center for Renewable Energy Generation Engineering,Ministry of Education Hohai University  
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中文摘要:
      本文选取能反映电能计量装置各类设备运行状态的不同指标,建立状态综合评价指标体系,运用多层次模糊综合评价法对运行状态进行评价。在获得状态评价分值的基础上,建立CAPSO-BPNN预警模型对其未来运行状态评价分值进行预测,参考状态评价标准发出状态警报。文中结合具体算例对预警方法的应用进行了详细说明,经算例分析表明本文方法具有一定的可行性,可为电能计量装置运行状态预警技术提供理论上的参考依据。
英文摘要:
      In this paper, different indexes which can reflect the running state of all kinds of electric energy metering device equipment are selected to establish the comprehensive evaluation index system. The multi-level fuzzy comprehensive evaluation method is adopted to evaluate the running state. On the basis of state evaluation score, the CAPSO-BPNN forewarning model is built to forecast its future running state evaluation score. Afterwards, the state alarm is raised with reference to evaluation standard. The proposed forewarning method is detailed in combination with concrete numerical examples. The results verified that the method has certain feasibility and can provide theoretical reference basis for the forewarning technology for running state of electric energy metering device.
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