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Simultaneous estimation of sensor locations during thermal property parameter estimation

机译:热属性参数估计期间传感器位置的同时估计

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The temperature dependent thermal properties of a material may be evaluated from transient temperature histories using nonlinear parameter estimation techniques. The usual approach is to minimize the sum of the spuared errors between measured and calculated temperatures at specific locations in the body. The location of the temperature sensors in the material is usually considererd as known and fixed during parameter estimation computations. In fact, sensor locations are never known exactly; location errors on the order of the sensor dimensions are intrinsic to most instrumentation proedures. Sensor ocation errors are especially significant when estimating the thermal properties of low diffusivity materials which can sustain large temperature gradients during testing. In this paper, a parameter estimation formation is presented which allows for the direct inclusion of sensor position into the primary parameter estimation procedure. It is demonstrated that this procedure can lead to increased accuracy in estimated thermal properties. A mathematical outline of the procedure is given and its implementation is illustrated through numerical examples characteristic of light-weight, temperature cernamic insulations during transient heating.
机译:可以使用非线性参数估计技术从瞬态温度历史评估材料的温度依赖性热特性。通常的方法是最小化在体内特定位置的测量和计算温度之间的血清误差之和。材料中的温度传感器的位置通常是在参数估计计算期间已知和固定的Iderd。事实上,传感器位置从未完全清晰地知道;传感器尺寸顺序的位置误差是大多数仪器尺寸的内在。当估计在测试期间可以维持大的温度梯度的低扩散性材料的热性能时,传感器凸坏尤其显着。在本文中,提出了一种参数估计形成,其允许将传感器位置直接包含到主要参数估计过程中。结果证明,该程序可以导致估计的热性能提高精度。给出了该过程的数学概要,并且通过在瞬态加热期间通过数字示例进行了数字示例来示出其实现。瞬态加热期间的温度Cernamic绝缘。

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