陆倩,,
苏美力
广西大学计算机与电子信息学院 南宁 530004
基金项目:国家自然科学基金(61862003, 61862004)，广西研究生教育创新计划资助项目(YCSW2019036)
详细信息
作者简介:归伟夏：女，1974年生，副教授，博士，研究方向为智能计算、网络与并行分布式计算
陆倩：女，1994年生，硕士生，研究方向为智能算法、并行计算
苏美力：女，1989年生，硕士生，研究方向为智能算法、并行计算
通讯作者:陆倩 563766390@qq.com
中图分类号:TP306计量
文章访问数:5057
HTML全文浏览量:661
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被引次数:0
出版历程
收稿日期:2019-06-28
修回日期:2020-01-19
网络出版日期:2020-02-13
刊出日期:2020-06-04
A Firewoks Algorithm-Back Propagation Fault Diagnosis Algorithm for System-level Fault Diagnosis
Weixia GUI,Qian LU,,
Meili SU
School of Computer and Electronics Information, Guangxi University, Nanning 530004, China
Funds:The National Natural Science Foundation of China (61862003, 61862004), The Innovation Project of Guangxi Graduate Education (YCSW2019036)
摘要
摘要:为了更快速且精确地诊断出大规模多处理器系统中的故障单元，该文首次将改进的烟花算法和反向传播(BP)神经网络相结合，提出一种新的系统级故障诊断算法—烟花-反向传播神经网络故障诊断算法(FWA-BPFD)。首先，在烟花算法中引入双种群策略、协作算子以及最优算子，设计新的适应度函数，优化变异算子、映射规则和选择策略。然后，利用烟花算法全局搜索能力和局部搜索能力的自调节机制，优化BP神经网络中的权值和阈值的寻优过程。仿真实验结果表明，该文算法相较于其他算法不仅有效地降低了迭代次数和训练时间，而且还进一步提高了诊断精度。
关键词:系统级故障诊断/
烟花算法/
反向传播神经网络/
PMC模型/
烟花-反向传播神经网络算法
Abstract:In order to diagnose fault units in the large-scale multiprocessor systems more quickly and accurately, a system-level fault diagnosis algorithm—FireWorks Algorithm-Back Propagation Fault Diagnosis (FWA-BPFD) based on fireworks algorithm and Back Propagation(BP) neural network is proposed. Firstly, two population strategy, cooperative operator and optimal operator are introduced into fireworks algorithm. A new fitness function is designed, and the mutation operator, mapping rule and selection strategy are optimized. Then, the optimization process of weight and threshold value in BP neural network is optimized by the self-regulating mechanism of global and local searching ability of fireworks algorithm. Simulation results show that compared with other algorithms, this algorithm not only reduces the number of iterations and training time, but also improves the accuracy of diagnosis.
Key words:System-level fault diagnosis/
Fireworks algorithm/
Back Propagation (BP) neural network/
Preparata Metze Chien (PMC) model/
FireWorks Algorithm-Back Propagation Fault Diagnosis (FWA-BPFD) algorithm
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