Proceedings

Automated Synthesis of Timed Failure Propagation Graphs

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Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 972-977.

Abstract

Timed Failure Propagation Graphs (TFPGs) are used in the design of safety-critical systems as a way of modeling failure propagation, and to evaluate and implement diagnostic systems. TFPGs are mostly produced manually, from a given dynamic system of greater complexity. In this paper we present a technique to automate the construction of TFPGs. It takes as input a set of failure mode and discrepancy nodes and builds the graph on top of them, based on an exhaustive analysis of all system behaviors. The result is a TFPG that accurately represents the sequences of failures and their effects as they appear in the system model. The proposed approach has been implemented on top of state-of-the-art symbolic model-checking techniques, and thoroughly evaluated on a number of synthetic and industrial benchmarks.

Benjamin Bittner, Marco Bozzano, and Alessandro Cimatti. 2016. Automated Synthesis of Timed Failure Propagation Graphs. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16. IJCAI, 972–977. https://ijcai.org/proceedings/2016/142
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