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| 【悬赏金币】回答本帖问题，作者jacket114111将赠送您 6 个金币 | ||
jacket114111金虫 (小有名气)
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[求助]
请求大神，中文翻译英文，谢谢帮助 已有1人参与
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| 针对架空线路荷载风险预测问题，基于结构可靠性原理和线路荷载-强度的随机特性与干涉理论，建立了基于概率神经网络（PNN）的风险预测模型，提取极端天气下的气象信息典型特征值风速、覆冰厚度、降雨量、气温作为模型输入量，以线路失效概率划分的时间尺度上线路的荷载风险状态作为预测输出量。 |
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2楼2016-04-23 01:15:11
jacket114111
金虫 (小有名气)
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According to the principle of structure reliability and the random character of load-strength and load-strength interference theory, the risk forecasting model based on the PNN(probabilistic neural network) is built for overhead lines load risk forecasting problem, using the meteorological typical characteristic value of extreme weather, wind speed, ice thickness, rain fall and temperature as input, using overhead lines load risk on the time scale of lines failures probability. 望您指正，谢谢！！ |
3楼2016-04-24 09:41:17
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jacket114111: 金币+4, ★★★很有帮助 2016-04-25 11:40:44
jacket114111: 金币+4, ★★★很有帮助 2016-04-25 11:40:44
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本人非英语及你的研究方向的专业人士，仅理顺了一下你的内容，仅供参考，若偏差，请谅解。 Based on the principle of structure reliability and the random character and the interference theory of load-strength, the risk forecast model of the overhead lines load is built up using the probabilistic neural network (PNN). In this model, the values including wind speed, ice thickness, rain fall and temperature at the extreme weather are employed to forecast the overhead lines load risks on the time scale which are divided by the lines failures probability method. |
4楼2016-04-25 08:15:26