WCSE 2018 ISBN: 978-981-11-7861-0
DOI: 10.18178/wcse.2018.06.029

Research on TCAS Component-Level Circuit Fault Diagnosis Expert System

Xiaomin Xie, Fan Zhang, Yong Zeng, Lingling Zhong

Abstract— Accord to that fault diagnosis analysis of TCAS processor of airborne electronic equipment, a fault diagnosis expert system scheme based on component-level circuit is proposed. The scheme mainly carries out circuit fault diagnosis from the establishment of knowledge database and reasoning diagnosis mechanism. In the aspect of knowledge database building, SQL server language is used to build the database. In the aspect of reasoning and diagnosis mechanism, a hybrid reasoning mechanism based on the combination of case-based reasoning subsystem and fault tree reasoning subsystem is proposed, and the interpretation mechanism and self-learning mechanism of expert system fault library are established. According to TCAS fault phenomenon, the expert system can quickly and accurately diagnose the cause of the fault and give the corresponding troubleshooting plan, so as to accurately position the fault diagnosis to the component-level and achieve the purpose of depth diagnosis. Through the diagnosis example of TCAS data processor, the effect of positioning fault diagnosis to component-level is achieved.

Index Terms— component-level, circuit fault diagnosis, expert system.

Xiaomin Xie, Yong Zeng, Lingling Zhong
Institute of Electronic Communication Engineering, Anhui Xinhua University, CHINA
Fan Zhang
Research Department, Anhui Xinhua University, CHINA


Cite: Xiaomin Xie, Fan Zhang, Yong Zeng, Lingling Zhong, "Research on TCAS Component-Level Circuit Fault Diagnosis Expert System," Proceedings of 2018 the 8th International Workshop on Computer Science and Engineering, pp. 161-165, Bangkok, 28-30 June, 2018.