Implementing a Mobile Vehicle Failure and Malfunction Diagnosis Assistance System

  • Olusola Olajide Ajayi Department of Computer Science, Adekunle Ajasin University Akungba-Akoko, Ondo State, Nigeria
  • Taiwo O. Ojeyinka Department of Computer Science, Adekunle Ajasin University Akungba-Akoko, Ondo State, Nigeria
  • Oluwaseun v Bada Department of Computer Science, Adekunle Ajasin University Akungba-Akoko, Ondo State, Nigeria
##article.subject##: Implementing, Mobile Vehicle Failure, Malfunction Diagnosis Assistance

##article.abstract##

Applications in fault diagnosis are continuously being implemented to serve different sectors. Vehicle failure detection is a sequence of diagnostic processes that necessitates the deployment of expertise. This paper presents the imperatives for an expert system in developing vehicle failure solution detection model and the requirements of constructing successful knowledge-based system for such model. In addition, it exhibits the adaptation of the expert system in the development of vehicle failure and malfunction diagnosis assistance system (VFMDAS). Thus, the purpose of this paper is to assess the feasibility of augmenting the mechanic/vehicle user with a mobile application in the maintenance of vehicle. Based on the current diagnostic expert systems such as MYCIN, the expert diagnostic system discussed here will contain a knowledge base obtained from technical manuals and expert mechanics. It should be possible for less-qualified mechanic or a new vehicle user to quickly and accurately assess vehicle malfunctioning through interaction with our VFMDAS

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Giarratano, J., & Riley, G. (2004). Expert Systems: Principles and Programming (4th ed.).

Liao, S. (2005). Expert system methodologies and applications -a decade review from 1995 to 2004. Expert Systems with Applications, 28, 93-103.
##submissions.published##
2018-08-30
##issue.issue##
##issue.vol## 1 ##issue.no## 3 (2013)
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