论文标题
使用矩阵轮廓的周期性机电误差否决系统
Cyclical Electromechanical Error Denial System Using Matrix Profile
论文作者
论文摘要
我们建议，通常应用于大规模时间序列数据挖掘的矩阵曲线数据结构适用于机电系统中周期性错误的分析和抑制，为智能适应性控制系统的智能家族铺平了道路，该系统在嵌入式应用程序中对计算成本响应的智能型家庭对环境错误的响应。我们利用矩阵轮廓构建和评估对照算法的功效，我们称之为周期性机电误差否认系统（CEEDS）。
We propose that the Matrix Profile data structure, conventionally applied to large scale time-series data mining, is applicable to the analysis and suppression of cyclical error in electromechanical systems, paving the way for an intelligent family of adaptable control systems which respond to environmental error at a computational cost low enough to be practical in embedded applications. We construct and evaluate the efficacy of a control algorithm utilizing the Matrix Profile, which we call Cyclical Electromechanical Error Denial System (CEEDS).
