基于时间序列提取信号特征的通用自动标检软件开发
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Development of Common Software for Auto-calibration/detection Based on Extraction of Signal Characteristic Values from Time Series
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    摘要:

    为推行精益生产,提出一种基于时间序列提取信号特征值的通用自动标检软件开发的方法。从自动标定/ 检验工装通用架构及基于时间序列提取信号特征值2 方面,阐述基于多核多线程时间片轮转调度及依据既定信号类 型,基于分段时间序列借助约简算法快速提取信号特征值。结果表明:该方法在既定时段能可靠完成约定产品的标 定、检验与功能测试,优化生产排程,缩减约定产品生产周期。

    Abstract:

    In order to carry out lean production, presents a method to develop common software for automatic calibration and detection, which is based on time series to extract the characteristic values of signals. This paper describes the common software from two aspects of general architecture for auto-calibration detection and extracting the characteristic values of signals based on time series. Describes the common software based on multi-core and multi-thread time-slice round-robin scheduling and the fast extraction of the characteristic values of signals based on segmented time series and reduction algorithm according to the given signal types. The results show that the method can complete the calibration, inspection and function test of the contract product in a certain period of time, optimize production schedule, so as to reduce the whole production cycle of the contract product.

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引用本文

黄 蕾.基于时间序列提取信号特征的通用自动标检软件开发[J].,2020,39(11).

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  • 收稿日期:2020-06-07
  • 最后修改日期:2020-07-10
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  • 在线发布日期: 2021-01-25
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