The service task of automotive troubleshooting process in collaborative environment using knowledge support approach

Author:

Liang Jeremy S1ORCID

Affiliation:

1. Department of Mechanical Engineering, Wenzhou Polytechnic, Wenzhou, China

Abstract

The automotive troubleshooting unfolds from the system phase to the multiple-domain phase. It is necessary that different field members, for example, system and domain engineers, cooperate tightly toward an integrated product service process. Therefore, the purpose of this research is to generate a knowledge management platform for the overall automotive troubleshooting service. Besides, general ontologies, automotive troubleshooting service ontology (ATSO), is also created as a helpful tool for the communication of heterogeneous systems. This proposed approach of automotive collaborative troubleshooting is explained with the corresponding meta-model. The main contribution of this research is to assure the traceability in both system and domain phases by structuring knowledge. Eventually, an application is illustrated in enhancing re-usability in the region of automotive braking system in collaborative environment.

Funder

department of education of zhejiang province

Wenzhou Polytechnic

Publisher

SAGE Publications

Subject

Mechanical Engineering,Aerospace Engineering

Cited by 3 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. Advancements and Implications of Product Service Systems in the Automobile Industry: A Comprehensive Review;RAiSE-2023;2023-12-21

2. 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

3. A knowledge representation of decision communications in scheme for automotive troubleshooting service;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2021-09-18

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3