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云加端的嵌套滑动窗口故障信号在线检测方法研究*
引用本文:耿晓强,唐向红,陆见光,刘国凯.云加端的嵌套滑动窗口故障信号在线检测方法研究*[J].计算机应用研究,2017,34(12).
作者姓名:耿晓强  唐向红  陆见光  刘国凯
作者单位:贵州大学 现代制造技术教育部重点实验室,贵州大学 现代制造技术教育部重点实验室,贵州省公共大数据重点实验室;贵州省公共大数据重点实验室,贵州大学 现代制造技术教育部重点实验室
基金项目:贵州省重大科技专项(黔科合重大专项字[2013]6019,黔科合重大专项字[2012]6018)和贵州省基础研究重大项目(黔科合JZ字[2014]2001)
摘    要:针对当前制造业生产线设备的故障检测效率以及检测方法通用性不高的问题,本文提出了一种云端融合的动态嵌套滑动窗口故障信号在线检测算法。该算法采用云服务跟智能终端在线检测相结合的架构,利用云服务大存储量和高计算速度、精度的优势,解决了终端设备对故障信号处理能力不足以及仅能对线上数据进行单次扫描的问题。云计算中心根据数据流的波动情况初步确定滑动窗口大小,再根据对异常信号的判断,向智能终端反馈故障信号的大小和相对位置,通过动态嵌套滑动窗口对其进行定位。理论分析和实验结果表明,该方法对周期信号有较好的通用性,而且有效提高了故障检测的效率。

关 键 词:云计算  动态嵌套滑动窗口  故障检测  数据波动  数据流
收稿时间:2016/9/18 0:00:00
修稿时间:2017/10/16 0:00:00

The fault data detection method based on nesting sliding window of cloud and terminal
Geng Xiaoqiang,Tang Xianghong,Lu Jianguang and Liu Guokai.The fault data detection method based on nesting sliding window of cloud and terminal[J].Application Research of Computers,2017,34(12).
Authors:Geng Xiaoqiang  Tang Xianghong  Lu Jianguang and Liu Guokai
Affiliation:Key Laboratory of Advanced Manufacturing technology,Ministry of Education,,,
Abstract:To solve the problem that the fault detection efficiency and the versatility of detection methods are not high, we propose a detection algorithm merged together with cloud computing and dynamic nesting sliding window. The algorithm utilizes the advantage of, large storage capacity, high computational speed and high accuracy, of cloud computing center to solve the problem that intelligent terminal lack the capacity to solve the fault signal and can only scan the data at a time. The cloud computing center would initial confirm the size of sliding window by the wave of data flow, then make a judgment by the unusual data and feedback the quantity and relative place of fault data to the smart terminal, the smart terminal would adjust the inlayer sliding window in outer layer sliding window to confirm the trouble signal. Theoretical analysis and experimental results show that the method has a good versatility for periodic signals, and the method also improves the efficiency and accuracy of fault detection.
Keywords:Cloud computing  Dynamic nesting sliding window  Fault detection  Data fluctuation  Data flow
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