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计算机系统应用英文版:2016,25(7):230-234
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基于维修周期预测的网络摄像机退化分析
(1.山东建筑大学 信息与电气工程学院, 济南 250101;2.山东省智能建筑技术重点实验室, 济南 250101)
Network Camera Degradation Modeling Based on Maintenance Cycle Forecast
(1.School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China;2.Shangdong Provincial Key Laboratory of Intelligent Buildings Technology, Jinan 250101, China)
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Received:November 08, 2015    Revised:December 16, 2015
中文摘要: 网络摄像机作为安防系统中的重要组成部分,其可靠性直接影响着安防系统的性能.现在的研究得到的都是安防设备的整体稳定性或者单一产品的稳定性,无法在保证个体差异性的基础上对整体进行效能评估;鉴于此,提出了基于Winner过程先验数据的可靠性分析法.首先,建立基于Winner过程的设备退化模型并利用PPS抽样方法对其中的设备数据样本获取先验数据,并确定其先验分布;其次,对其设备维修周期的置信区间进行计算,并对退化样本数据建立后验估计,预测安防设备的维修周期.最后通过一个实例表明了该方法的研究意义和使用价值.
中文关键词: 退化建模  可靠性  维纳过程  维修周期
Abstract:The network camera is an important part of security system, and its reliability directly affects the performance of the security system. Now the research can obtain the overall stability of the security equipment or the stability of a single product, which may not guarantee the overall performance evaluation on the basis of individual differences; In view of this, this paper puts forward the reliability analysis method based on Winner process data. First of all, it sets up the equipment degradation model based on the Winner process and obtains prior data from equipment data samples using PPS sampling method, and determines its prior distribution; Secondly, it calculates confidence interval of maintenance cycle of the equipment, and builds a posteriori estimation for sample degradation data, and forecast maintenance cycle of security equipment. Finally, an example shows the significance of this research and the value of this method.
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张运楚,赵成,杨红娟,韩怀宝,杨崇涛.基于维修周期预测的网络摄像机退化分析.计算机系统应用,2016,25(7):230-234
ZHANG Yun-Chu,ZHAO Cheng,YANG Hong-Juan,HAN Huai-Bao,YANG Chong-Tao.Network Camera Degradation Modeling Based on Maintenance Cycle Forecast.COMPUTER SYSTEMS APPLICATIONS,2016,25(7):230-234