This paper deals with the methods of data analysis, data fit and data diagnosis by an example in the measurement engineering practices with the residual error diagnosis method as the key point.
本文以残差诊断法为中心，讨论了测试工程中数据分析、拟合与诊断的方法，并通过实例加以说明。
In this paper, a method of process quality diagnosis using hypothesis testing for residual sequence of ARMA innovation model estimation error by recursive maximum likelihood method was studied.
本文基于辨识 ARMA新息模型生成估计残差序列 ，再对残差序列的平均值和无偏方差进行假设检验 ，可实现工序质量的异常诊断。
应用推荐