Publication Type |
pre-print |
School or College |
College of Engineering |
Department |
Computing, School of |
Creator |
Henderson, Thomas C. |
Other Author |
Knight, Gwen; Grant, Edward |
Title |
Multisensor methods to estimate thermal diffusivity |
Date |
2012-01-01 |
Description |
Several methods for the estimation of thermal diffusivity are studied in this work. In many application scenarios, the thermal diffusivity is unknown and must be estimated in order to perform other estimation functions (e.g., tracking of the physical phenomenon, or solving other inverse problems like localization or sensor variance, etc.). In particular, we describe: 1) The use of minimization methods (the Golden Mean and Lagarias' simplex) to determine the thermal diffusivity coefficient which when used in a forward heat flow simulation results in the least (vector) distance between the sampled data and the simulated data. 2) The Maximum Likelihood Estimate for thermal diffusivity. 3) The Extended Kalman Filter to recover the thermal diffusivity. We apply these methods to the determination of thermal diffusivity in snow. |
Type |
Text |
Publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
First Page |
313 |
Last Page |
317 |
Dissertation Institution |
University of Utah |
Language |
eng |
Bibliographic Citation |
Henderson, T. C., Knight, G., & Grant, E. (2012). Multisensor methods to estimate thermal diffusivity. IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, no. 6343037, 313-7. |
Rights Management |
(c) 2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
Format Medium |
application/pdf |
Format Extent |
173,665 bytes |
Identifier |
uspace,18139 |
ARK |
ark:/87278/s67s86j9 |
Setname |
ir_uspace |
ID |
708303 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s67s86j9 |