Xu Y.,The Missile Institute of AFEU |
Sun J.,The Missile Institute of AFEU |
Chen X.,The Missile Institute of AFEU |
Zeng Z.,Unit 93768 of PLA |
Zhang J.,Unit 93682 of PLA
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University | Year: 2012
Taking tolerance as the parameter, a method based on multi-objective particle swarm optimization (MOPSO) for soft fault diagnosis of analog circuit is proposed. The constraint linear programming equation is constructed according to the sensitivity analysis of node-voltage. The percentage of the parameter deviation against the nominal value is considered as the diagnosis criterion. Aiming at the selective pressure in the MOPSO caused by the number of the increased objectives, the preference order is chosen instead of the traditional Pareto optimum. Then "the best compromise" is introduced as a global best to update the particle velocity. Thus an equilibrium selection of global search following the effective ordering (ESEO-MOPSO) is employed to divide the node-voltage incremental equations. The simulation illustrates that the proposed method enables to locate the faulty element and estimate the parameter deviation effectively.