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某型固体继电器储存性能退化规律研究   总被引:2,自引:2,他引:0  
选用某型固体继电器在A、B、c、D等4地开展了为期131个月的库房储存试验,跟踪测试了其性能参数。应用F-检验和T-检验对其性能参数的测试数据进行了分析研究,结果表明储存131个月后,输入电流和输出接通电阻在4地有显著性的变化。通过研究4地试验样品性能参数的退化量,结果表明所有性能参数中输出接通电阻的退化量最大;4地相比,C地试验样品的输出接通电阻的退化量是最大的,A地试验样品的输出接通电阻的退化量是最小的。因此,A地最适合该型固体继电器的储存。  相似文献   
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Natural attenuation (NA) is a catchall explanation for the overall decay and slowed movement of the contaminants in the subsurface. One direct support to NA is to demonstrate that contaminant concentrations from monitoring wells located near the source are decreasing over time. The decrease is summarily expressed in terms of an apparent half-life that is determinedfrom the line best fitting the observed log-transformed concentration data and time. This simple (time-only) decay modelassumes other factors are invariant, and so is flawed when complicating factors – such as a fluctuating water table – are present. A history of the water-table fluctuation can track changes in important NA factors like recharge, groundwater flow direction and velocity, as well as other non-NA factors like volume of water in and purged from the well before a sample is collected. When the trend in the concentrations is better associated with the water table rising or falling, any conclusionabout degradation rate may be premature. We develop simple regressions to predict contaminant concentration (c) by two line models: one involving time (c c(t)), and another involving groundwater elevation (c c(z)). We develop a third model that includesboth factors (c c(t, z)). Using an F-test to compare the fits to the models, we determine which modelis statistically better in explaining the observed concentrations. We applied the test to sites where benzene degradation rates had previously been estimated. The F-testcan be used to determine the suitability of applying non-parametric statistics, like the Mann-Kendall, to the concentration data, because the result from the F-test canindicate instability of the contaminant plume that may bemasked when the water table fluctuates.  相似文献   
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动态贴近度法在徒骇河干流水质监测点优化中的应用   总被引:1,自引:0,他引:1  
根据2010—2012年的COD、BOD5、NH3-N、TP和Cr6+的例行监测数据,采用动态贴近度法,对徒骇河干流13个监测点进行优化。分别计算丰水期、平水期和枯水期的最优点和最劣点的距离,从而计算出最优贴近度值。利用t检验和F检验对优化结果进行准确度和精确度检验,结果表明,优化后的8个监测点的监测数据可以代表整个干流的水质状况。  相似文献   
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