测试性验证试验的故障注入方法优化研究

Research on optimization of fault injection method for testability verification test

摘要:

测试性验证试验是舰炮制导弹药测试性水平的主要验证手段，故障注入是验证测试性水平的一种有效方法。舰炮制导弹药封装严密，故障注入难度大，导致部分故障模式无法实现和故障覆盖率较低，如何进行故障注入方法的优化和减少故障注入的成本成为亟待解决的问题。从某型舰炮制导弹药的故障模式分析出发，研究了其故障传递特性，利用故障传递特性建立故障与状态、故障与故障之间的关系，并运用贝叶斯网络多树传播算法得到了测试性等效故障相关矩阵，使用等效故障代替无法注入的故障，有效提高了故障的覆盖率，优化了测试性故障注入方法，完善了测试性验证试验。最终使测试性验证试验更加完备，测试性水平的验证结果可信度更高，实现了某型舰炮制导弹药主要故障模式的全部覆盖。

Abstract:

The testability verification test is a main verification means to verify testing level of the guided projectile for naval guns, fault injection is a effective method to verify testing level, the guided projectile for naval guns is tightly packaged, fault injection is difficult,some fault modes can not be realized and fault coverage is low,how to optimize the fault injection method and reduce the cost of fault injection has become an urgent problem to be solved.The fault transfer characteristic is studied from the fault mode of a certain guided projectile for naval guns, the relation is established between fault and state, fault and fault by using fault transfer characteristics, the test equivalent fault correlation matrix is obtained by using Bayesian network multi-tree propagation algorithm, it can effectively improve the coverage of faults, and optimize the injection method of testability fault, and perfect the testability verification test by using equivalent fault instead of injectable fault. Finally,it makes the testability verification test more complete and the testability level verification results more reliable，the main fault modes of a guided projectile for naval guns are covered completely.