在电厂热工控制系统中,c类备件占用资金比较小、消耗量比较大,并且其消耗具有连续性,消耗量可近似看成与时间成正比,所以,可采用基于连续消耗特性的英语翻译

在电厂热工控制系统中,c类备件占用资金比较小、消耗量比较大,并且其消耗

在电厂热工控制系统中,c类备件占用资金比较小、消耗量比较大,并且其消耗具有连续性,消耗量可近似看成与时间成正比,所以,可采用基于连续消耗特性的传统备件消耗预测方法来预测C类备件的消耗趋势。考虑到该类备件“每一天”的消耗量具有一定的偶然性,为了消除备件日均消耗量随机波动对预测结果产生的影响,本文采用移动平均法建立该类备件的消耗预测模型。图4-6示意了C类备件库存量随时间的变化规律
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结果 (英语) 1: [复制]
复制成功!
In the thermal control system of power plants, C-type spare parts occupy relatively small capital, consume relatively large amount, and their consumption is continuous. The consumption can be regarded as proportional to time. Therefore, traditional spare parts based on continuous consumption characteristics can be used. Consumption prediction method to predict the consumption trend of C-type spare parts. Taking into account the "every day" consumption of this type of spare parts has a certain contingency, in order to eliminate the influence of the random fluctuation of the average daily consumption of spare parts on the forecast results, this paper adopts the moving average method to establish the consumption forecast model of this kind of spare parts. <br>Figure 4-6 shows the variation of C-type spare parts inventory over time
正在翻译中..
结果 (英语) 2:[复制]
复制成功!
在电厂热工控制系统中,c类备件占用资金比较小、消耗量比较大,并且其消耗具有连续性,消耗量可近似看成与时间成正比,所以,可采用基于连续消耗特性的传统备件消耗预测方法来预测C类备件的消耗趋势。考虑到该类备件“每一天”的消耗量具有一定的偶然性,为了消除备件日均消耗量随机波动对预测结果产生的影响,本文采用移动平均法建立该类备件的消耗预测模型。<br>图4-6示意了C类备件库存量随时间的变化规律
正在翻译中..
结果 (英语) 3:[复制]
复制成功!
In the thermal control system of power plant, class C spare parts occupy less capital and consume more, and their consumption is continuous. The consumption can be approximately regarded as proportional to time. Therefore, the traditional spare parts consumption prediction method based on continuous consumption characteristics can be used to predict the consumption trend of class C spare parts. Considering that the consumption of this kind of spare parts "every day" has certain contingency, in order to eliminate the impact of random fluctuation of daily average consumption of spare parts on the prediction results, this paper uses the moving average method to establish the consumption prediction model of this kind of spare parts.<br>The diagram of C-4 spare parts changing with time<br>
正在翻译中..
 
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