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作 者:韩博[1] 王敏[1] 徐宜[1] 乔丽[1] Han Bo Wang Min Xu Yi Qiao Li(NOVERI, Beijing 100072)
出 处:《前沿科学》2017年第3期71-75,共5页Frontier Science
摘 要:构造车载伺服系统故障—传感器相关性矩阵,以检测率、隔离率与虚警率作为约束条件,以传感器总成本作为目标函数,采用基于Pareto占优的离散粒子群算法建立传感器数目优化模型并求解。实例结果表明,在保证系统测试性要求的前提下,使传感器个数由59个减少为22个,达到传感器成本、系统故障率最低化的优化目的。The sensor number optimization model is constructed in this paper and been solved using the discrete particle swarm optimization based on the Pareto dominance under the conditions of" the improved system fault and sensor correlation matrix. The detection rate, isolation rate, false alarm rate is considered as the constrain condition, and the sensor cost is considered as the objective function. Under the premise of ensuring system testability requirements, the quantity of sensor decreased from 59 to 22, which achieves the optimization goal of the lowest sensor cost and system failure rate.
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