Kalman smoother for detection of heat sources defects

Mohamed Salim Bidou, Sylvain Verron, L. Perez, L. Autrique
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引用次数: 1

Abstract

This work is devoted to an application of the Kalman smoother method for the detection of failure times for a system of linear parabolic partial differential equation. For complex processes whose evolution is described by partial differential equations, the detection of failures is often difficult. In thermal systems, for example, when one or more heating sources fail, the sensors placed at a distance perceive the effect with delay. The Kalman smoother is then applied when the classical Kalman filter is used for the estimation of intensity of our sources. From these estimation, it is then necessary to determine the moment of failure and the possible restart of the heating. In the following, the whole problematic and the method of resolution is presented.
用于热源缺陷检测的卡尔曼平滑
本文研究了卡尔曼光滑法在线性抛物型偏微分方程系统失效时间检测中的应用。对于用偏微分方程描述演化过程的复杂过程,故障的检测往往是困难的。例如,在热系统中,当一个或多个热源失效时,放置在一定距离的传感器会延迟感知其影响。然后,当使用经典卡尔曼滤波器估计源的强度时,应用卡尔曼平滑。根据这些估计,有必要确定故障时刻和可能重新启动加热。本文对整个问题及解决方法进行了阐述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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