Application of Artificial Intelligence in Fault Diagnosis of Automotive Systems
Authors: Aru OE, Adimora KC, Mba CP
DOI Info: http://doi.org/10.5281/zenodo.5048431
ABSTRACT
The automobile fault diagnosis system is specifically built for identifying, characterizing, and analyzing faults whenever there is a breakdown or a failure in a system for a precise solution. Most times the attributed fault from the trial and error method is false and an attempt to resolve such a fault always leads to a worse situation with great loss of resources. However, in this paper, the application of artificial intelligence for fault diagnosis of the automotive system was employed to overcome these problems. This research paper also aims at minimizing downtime through the provision of an intelligent fault diagnosis system that is capable of giving precise fault information on the system and provide solutions on how it will be repaired at a zero time. The new system is flexible in application and was designed with the help of artificial intelligence based on machine learning principles. Algorithm for critical fault determination was developed and probability set equations were formulated also at the implementation of the new system. The research result was analyzed and tested in MATLAB software and the results revealed that the new system favorably eliminates the problems indicated by the trial and error method.
Affiliations: Department of Computer Engineering, College of Engineering and Engineering Technology, Michael Okpara University of Agriculture, Umudike, PMB 7267, Umuahia, Abia State, Nigeria.
Keywords: Fault Diagnosis, Automotive System, Trial And Error Method, System Breakdown, Artificial Intelligence, Machine Learning
Published date: 2021/06/30
