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作 者:韩新明 Han Xinming(Shanxi Huobao Ganhe Coal Mine Co.,Ltd.,Shanxi Linfen 031600)
机构地区:[1]山西霍宝干河煤矿有限公司,山西临汾031600
出 处:《山东煤炭科技》2024年第7期89-92,119,共5页Shandong Coal Science and Technology
摘 要:为解决采煤机健康状态评估过程中存在的监测参数冗余、状态评估指标不合理,导致评估准确率低的问题,干河煤矿从采煤机基本组成结构入手,使用灰色关联分析法确定故障与指标的关联性,设置关联度阈值,筛选关键指标,构建采煤机健康状态评估体系;使用组合赋权法完成健康状态评估模型建立,进行指标数据无量纲化处理、计算指标权重;根据灰色聚类评估白化权函数构建采煤机健康状态评估模型,得到采煤机健康状态,对健康状态评估模型进行验证,将截割部数据提取后完整导入进行筛选,然后将数据导入采煤机健康状态评估模型完成健康评估,对比层次分析法、熵权法、组合赋权法评估结果的准确度。结果显示,组合赋权法评估结果的准确度最高,达到85%。To solve the problems of redundant monitoring parameters and unreasonable status evaluation indicators in the health status evaluation process of shearer,which lead to low evaluation accuracy,Ganhe Coal Mine starts from the basic composition structure of shearer,uses grey correlation analysis method to determine the correlation between faults and indicators,sets correlation threshold value,screens key indicators,and constructs shearer health status evaluation system;Using the combination weighting method to establish health status evaluation model,non dimensionality processing of indicator data,calculation of indicator weights are conducted,and shearer health status evaluation model according to the grey clustering evaluation whitening weight function is constructed.The health status of the shearer is obtained,and the health status evaluation model is conducted to be verified.The data from the cutting section is extracted and fully imported for screening.Then,the data is imported into the shearer health status evaluation model to complete the health evaluation.The accuracy of the evaluation results using the analytic hierarchy process,entropy weight method,and combination weighting method is compared.The results show that the combination weighting method has the highest accuracy in evaluating results,reaching 85%.
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