Research on TCAS fault diagnosis based on directed graph fault tree

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Abstract

In order to solve the problem that TCAS fault diagnosis of airborne electronic equipment cannot reach the component level and other bottleneck problems, a diagnosis method based on directed graph and fault tree is proposed, and a diagnosis model based on directed graph and fault tree is designed, so as to accurately locate the fault diagnosis to the component level and achieve the purpose of deep diagnosis. From the mathematical point of view, the propagation matrix characteristics of the fault diagnosis model are analyzed and studied. By using the forward reasoning process based on the occurrence of events and non-occurrence of events, the problem of large fault tree caused by the complexity of the system in practical application is effectively solved, and the diagnosis efficiency is improved. Through the diagnosis example of TCAS data processor, the effect of locating fault diagnosis to component level is achieved.

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Xie, X., Zhang, F., Li, C., & Zeng, Y. (2019). Research on TCAS fault diagnosis based on directed graph fault tree. In Advances in Intelligent Systems and Computing (Vol. 885, pp. 417–423). Springer Verlag. https://doi.org/10.1007/978-3-030-02804-6_55

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