摘要
为了持续提高实验教学的质量,优化测量系统的性能,从质量管理的角度出发,提出了把实验设备纳入测量系统的范畴,探索最优工作点的方法。根据响应曲面方法的原理,分析实验教学测量系统的影响因素,建立测量模型,搜集样本和采集测量数据,分析测量数据的统计特性,从曲面空间中寻找最优工作点,在实际测量中检验最优工作参数,从而获得优化测量系统性能的方案;在模拟信号系统的噪声实验教学测量系统性能的优化中,应用响应曲面法使实验室测量的通过率提高10%。这表明,响应曲面方法在高校实验教学设备的性能优化中是一种有实用价值的方法。
It is the performance of the measurement system in the lab that directly affects the teaching quality in colleges and universities. In order to improve the teaching quality in the lab and optimize the performance of experimental teaching measurement system, a statistical method is presented to bring the experimental teaching devices into the category of measurement system to explore the optimized working points from the perspective of quality management. According to the principles of RSM （response surface methodology）, the influencing factors of experimental teaching measurement devices are analyzed, the statistical model is set up, the sampling data is collected, the statistical software is utilized to report the characteristics of the statistics, the best-fit response is found from the curve, and the optimized performance is verified by measurement, so that the optimization plan is found. The yield of analog signal system noisy device improves by 10% with the application of RSM, which shows that RSM is a kind of practical and valuable method to optimize the experimental teaching devices in labs of colleges and universities.
出处
《实验室研究与探索》
CAS
北大核心
2013年第3期45-50,共6页
Research and Exploration In Laboratory
关键词
响应曲面方法
最陡爬坡路径
等高线图
中心复合试验设计
假设检验
置信区间
RSM （response surface methodology）
path of steepest ascent
contour plot
central composite design
hypothesis testing
confidence interval
