Abstract:

An algorithm based on discrete particle swarm optimization (DPSO) is proposed in this paper for the optimal test-sequencing for the fault detection of a launch vehicle. This algorithm optimizes the original test set first to obtain the optimal test set, and then optimizes the test sequence based on the optimal test set. A timing sequencing control system is taken as an example for modeling. The result shows that this algorithm not only reduces the quantity of the test sets and the test cost, but also performs much better than the genetic algorithm (GA) in the optimization results and computational efficiency.

Key words: Optimal test sequencing problem for fault detection, Discrete particle swarm optimization, Design for testability