当传感器存在刻度系数误差、安装误差和测量偏差时，将会明显降低系统的FDI性能。
However, the sensor errors such as input axis misalignment, scale factor errors and biases, have significant effect on the FDI performance.
本文获得了刻度指数族变量带误差情形下的贝叶斯决策，且利用解卷积的核方法构造出了经验贝叶斯决策。
In this paper, a Bayes decision rule is derived for the scale-exponential family with error in variables, and an empirical Bayes (EB) decision rule is constructed by a deconvolution kernel method.
采用此多点刻度法计算的刻度系数，可以提高测量精度，降低误差，改善测井资料质量。
The calibration coefficients calculated by this multi-point calibration method can increase the measurement accuracy, decrease the errors and improve the logging data quality.
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