The aim of this work is to present some recent developments in the identification technique of thermophysical properties of insulating materials from transient conductive experiments. The non linear, time varying, inverse heat conduction problem is solved by using a suitable version of the Kalman filter. This last is one of the more general and powerful stochastic methodology available in the field of parameter estimation. Several transient experiments performed with the European standard reference for thermal conductivity of insulators (resin bonded glass fiber board BCR 64) have shown that the confidence bound of the reconstructed thermophysical properties is comparable to that given by standard methods
In many practical situations it is impossible to measure directly such characteristics of analyzed ...
International audienceThe analytical models used by hot-wire type probes are no longer suitable for ...
The time-dependent surface heat flux at one boundary of a one-dimensional system is reconstructed by...
After a short historical review of the estimation theory from Gauss to Kalman, the MAP sequential es...
An inverse technique is applied to the simultaneous reconstruction of thermophysical and mass transf...
The parameter estimation theory is considered the best way to estimate thermo-physical properties fr...
The identification of thermophysical properties of materials in dynamic experiments can be convenien...
The results of an experimental study concerning the determination of thermophysical properties of th...
The influence of measurement biases on the estimation of thermophysical properties in transient expe...
The results of an experimental study concerning the determination of thermophysical properties of th...
The problem of determining thermal diffusivity from transient temperature measurements is analysed, ...
This work reports some recent progress in the simultaneous identification of both thermophysical and...
A simplified procedure for analyzing data obtained from an experimental apparatus in unsteady state ...
The influence of sensor dynamics on the estimation of thermophysical properties of materials in tran...
This work proposes an experimental technique for the simultaneous estimation of temperature-dependen...
In many practical situations it is impossible to measure directly such characteristics of analyzed ...
International audienceThe analytical models used by hot-wire type probes are no longer suitable for ...
The time-dependent surface heat flux at one boundary of a one-dimensional system is reconstructed by...
After a short historical review of the estimation theory from Gauss to Kalman, the MAP sequential es...
An inverse technique is applied to the simultaneous reconstruction of thermophysical and mass transf...
The parameter estimation theory is considered the best way to estimate thermo-physical properties fr...
The identification of thermophysical properties of materials in dynamic experiments can be convenien...
The results of an experimental study concerning the determination of thermophysical properties of th...
The influence of measurement biases on the estimation of thermophysical properties in transient expe...
The results of an experimental study concerning the determination of thermophysical properties of th...
The problem of determining thermal diffusivity from transient temperature measurements is analysed, ...
This work reports some recent progress in the simultaneous identification of both thermophysical and...
A simplified procedure for analyzing data obtained from an experimental apparatus in unsteady state ...
The influence of sensor dynamics on the estimation of thermophysical properties of materials in tran...
This work proposes an experimental technique for the simultaneous estimation of temperature-dependen...
In many practical situations it is impossible to measure directly such characteristics of analyzed ...
International audienceThe analytical models used by hot-wire type probes are no longer suitable for ...
The time-dependent surface heat flux at one boundary of a one-dimensional system is reconstructed by...