| 矿井提升机钢丝绳张力不平衡预测 |
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| 引用本文： | 姜华,王金波,李春静.矿井提升机钢丝绳张力不平衡预测[J].自动化技术与应用,2011,30(11):9-13. |
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| 作者姓名： | 姜华 王金波 李春静 |
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| 作者单位： | 黑龙江科技学院,黑龙江哈尔滨,150027 |
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| 摘 要： | 在阐述了多绳摩擦提升机钢丝绳张力不平衡的危害问题的严重性后,使用Matlab建立新陈代谢模型、BP模型和灰色BP神经网络模型根据200组实测数据,分别对钢丝绳间张力不平衡最大百分值进行预测.通过对预测结果对比,确定灰色BP神经网络预测方式效果较好.2011.07.11
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| 关 键 词： | 钢丝绳 张力 预测 |
Mine Multi-rope friction Hoist Tension Unbalance Prediction |
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| JIANG Hua,WANG Jin-bo,LI Chun-jing.Mine Multi-rope friction Hoist Tension Unbalance Prediction[J].Techniques of Automation and Applications,2011,30(11):9-13. |
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| Authors: | JIANG Hua WANG Jin-bo LI Chun-jing |
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| Affiliation: | JIANG Hua,WANG Jin-bo,LI Chun-jing(Heilongjiang Institute of Science and Technology,Harbin 150027 China) |
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| Abstract: | After expounding the seriousness of uneven rope tension in multi-rope elevator,Matlab is used to establish metabolic models,BP model and gray BP neural network model according to 200 groups measured data,respectively,to predict the largest unbalance in tension among the rope percentiles.By contrast the predictions,the gray BP neural network is the better way. |
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| Keywords: | steel wire rope tension prediction |
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