The permutation entropy and its applications on full-scale compartment fire data
Flavia-Corina Mitroi-Symeonidis
Academy of Economic Studies, Bucharest, Romania
Abstract:
Given the sparse literature on the usefulness of the entropy in analyzing fire data, we investigate the order characteristics of the compartment fire based on experimental data. We compare several known algorithms used extract the underlying probabilities, checking their suitability to point out the abnormal values and structure of the time series. We claim that the permutation entropy is suitable to detect the occurrence of the flashover and unusual data in fire experiments.