The service task implementation in automotive troubleshooting using an ontology-based knowledge support system

Author:

Liang Janus S1

Affiliation:

1. Department of Technology Application and Human Resource Development, National Taiwan Normal University, Taipei, Republic of China

Abstract

In the severe and highly competitive international commercial environment, automotive enterprises have made critical efforts in order to provide more additional value services except in their original product development field. A wider scope of knowledge is necessary to build an automotive troubleshooting service system, since inspection, diagnosis, maintenance and service operations are involved in its troubleshooting range. In this study, a methodology for ontology-based knowledge support is generated. Based on this methodology, a prototype of an automotive troubleshooting service system is generated. An industrial application is proposed and its initial results reveal the applicability of the approach and the prototype in practice.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Aerospace Engineering

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Study on an architecture of ontology-based task modeling and deduction for automotive troubleshooting service;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2022-09-20

2. An approach with multi-tier automotive knowledge formalization for troubleshooting activities;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2022-01-08

3. Analysis of challenges for automobile service garages in India: a structural modeling approach;Journal of Advances in Management Research;2020-10-09

4. The seven-step failure diagnosis in automotive industry;Engineering Failure Analysis;2020-10

5. The service task of automotive troubleshooting process in collaborative environment using knowledge support approach;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2020-09-20

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