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The Daya Bay Reactor Neutrino Experiment started running on September 23, 2011. The offline computing environment, consisting of 11 servers at Daya Bay, was built to process onsite data. With the current computing ability, onsite data processing is running smoothly. The Performance Quality Monitoring system (PQM) has been developed to monitor the detector performance and data quality. Its main feature is the ability to efficiently process multiple data streams from the three experimental halls. The PQM processes raw data files from the Daya Bay data acquisition system, generates and publishes histograms via a graphical web interface by executing the user-defined algorithm modules, and saves the histograms for permanent storage. The fact that the whole process takes only around 40 minutes makes it valuable for the shift crew to monitor the running status of all the sub-detectors and the data quality. 相似文献
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疲劳剩余强度的可靠性研究 总被引:4,自引:0,他引:4
利用断裂力学,疲劳和可靠性分析方法,对疲劳过程中的剩余强度进行了研究,.通过七组试样的试验,得到了发动机连杆材料18CrNiWA钢的P R S N曲线(即失效概率 剩余强度 疲劳应力 循环寿命曲线).本文的分析方法对其他承受疲劳载荷的零部件和材料,具有重要的推广应用价值. 相似文献
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