Title :
Diagnosis of Automotive Systems Based on Logfile Similarity
Author :
Kabbaj, N. ; Doncescu, A.
Author_Institution :
Fac. of Sci., Univ. of Fez, Fez, Morocco
Abstract :
In this paper, a methodology of failure diagnosis in automotive systems based on log file similarity is presented. It supposes that we have a set of classes representing different failures of a vehicle, each class is composed of similar log files. Then, we define a similarity metric based on Kolmogorov complexity that measures the amount of shared information between the log file of a broken vehicle and the prototype of the different referenced failure classes.
Keywords :
automotive engineering; computational complexity; failure analysis; fault diagnosis; Kolmogorov complexity; automotive system diagnosis; broken vehicle failure diagnosis; information sharing; logfile similarity; similarity metric; Automotive engineering; Complexity theory; Context; Estimation; Measurement; Prototypes; Vehicles; Automotive systems; Classification; Fault diagnosis; Kolmogorov Complexity;
Conference_Titel :
Broadband and Wireless Computing, Communication and Applications (BWCCA), 2011 International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4577-1455-9
DOI :
10.1109/BWCCA.2011.71
