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An SAT-based tool to compute minimal cut set (MCSs) in fault tree analysis (FTA).

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SatFTA-v2.0

An SAT-based tool to compute minimal cut set (MCSs) in fault tree analysis (FTA). The paper about this tool has been published in [1] and [2].

[1] Weilin Luo, Ou Wei, "WAP: SAT-Based Computation of Minimal Cut Sets," in Proceedings of ISSRE, pp. 146-151, 2017.

[2] Weilin Luo, Ou Wei and Hai Wan, "SATMCS: An Efficient SAT-Based Algorithm and Its Improvements for Computing Minimal Cut Sets," IEEE Transactions on Reliability, 2020.


Environment

  • Ubuntu 18.04
  • python 2.7

Quick start

sh run.sh

Parameters

Name Function Default value
bm set the benchmark "test"
tl set the time limit (s) 3600
omcs set whether to output MCSs (0: False; 1: True) 0
bt set the backtrack mode (0: backtrack; 1: backjump) 1

Directory Overview:

Name Function
./example Benchmarks
./example/output results (.res)

Framework

f.dag -> |Simplify| -> |Module| -> |Compute| -> |Merge| -> f.res

Name Function Input Output
Simplify simplify the fault tree f.dag f.sdag
Module module division for the fault tree f.sdag f_mi.sdag, f_mi-p.cnf, f_mi-n.cnf, and map of f_mi.sdag
Compute compute all MCSs of the fault tree f_mi.sdag, f_mi-p.cnf, f_mi-n.cnf, and map of f_mi.sdag f_mi.mcs
Merge merge the MCSs of modules f_mi.mcs, and map of f_mi.sdag f_mi.mcs

Algorithm

Simplify and Module (Preprocessing)

We use a well-known preprocessing method [3].

[3] Yves Dutuit, Antoine Rauzy, "A linear-time algorithm to find modules of fault trees," IEEE Transactions on Reliability, vol. 45, no. 3, pp. 422-425, 1996.

https://github.com/chent86/fault_tree_preprocess

SATMCS

Luo and Wei proposed a SAT-based method, namely SATMCS, which reformulates the problem of representing MCSs as the problem of searching models. SATMCS extracts an MCS utilizing local propagation graph (LPG). The LPG based on graph explicitly represents how the status of system components lead to a system failure through the structure of the fault tree. Experiments show that SATMCS efficiently computes MCSs with lower memory cost.

https://ieeexplore.ieee.org/document/8109081/

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