摘要
针对自动测试系统(Automatic Test System,ATS)最佳校准周期的确定问题,提出了一种基于加权评分法的新的预测方法。以某型构造复杂、多量值校准的军用ATS为例,首先建立其准确可靠的量值传递计量链,确定系统中单个仪器的校准周期;然后进行系统多信号流图建模,生成相关性矩阵,模型分析求得各仪器可计量性贡献率;最后将可计量性贡献率作为权重,进行加权平均,即可得到整个系统的校准周期。该方法首次从系统级层面上确定了某型军用ATS的校准周期,对其他ATS校准周期的确定和调整研究具有一定的参考意义和应用价值。
Aiming at determining the optimal calibration interval of automatic test system( ATS),a new prediction method based on weighted average is proposed. Taking a certain military ATS with complex structure and multi-signal calibration as an example. Firstly,the reliable measurement value transfer chain is established and the calibration cycle of a single device in the system is determined. Then,multi-signal flow graph model is established,the correlation matrix is generated and measurability contribution rates of all devices are calculated by model analyses. Finally,taking the measurability contribution rate as a weight and weighted average,the calibration interval of the whole system is predicted. The example shows that the method is used to determine the calibration interval of a certain military ATS from system level for the first time,thus determining and adjusting other ATS calibration interval,it has some reference significance and application value.
出处
《南京邮电大学学报(自然科学版)》
北大核心
2015年第6期95-99,共5页
Journal of Nanjing University of Posts and Telecommunications:Natural Science Edition
关键词
自动测试系统
校准周期
多信号流图模型
可计量性贡献率
加权平均
automatic test system(ATS)
calibration interval
multi-signal model
contribution rates of measurability
weighted average