Icing load and icing rate are necessary feedback variables for an intelligent anti/de-icing systemtowork effectively
in harsh cold environment of high north. These parametersmay be measured by axial loadings or by rotational
loadings, as a function of current demand. However the former may not necessarily be dynamic, whereas the
later necessarily be rotational. Sufficiently at a fixed rpm, a mathematical model between additional polar moment
of inertia vs electrical demand of the sensor can be established to analytically shape the icing load and
icing rate adequately as hypothesized in Cost 727. This paper aims to develop such model and is validated
using experimental data from a case study conducted by Atmospheric Icing Research Team of Narvik University
College at Cryospheric Environmental Simulator, Snow and Ice Research Center, (NIED) Japan
