| 基于混沌PSO—DV优化BP神经网络的汽车故障诊断 |
| |
| 引用本文： | 刘建立,李业德,张涛.基于混沌PSO—DV优化BP神经网络的汽车故障诊断[J].山东理工大学学报,2013(1):67-70. |
| |
| 作者姓名： | 刘建立 李业德 张涛 |
| |
| 作者单位： | [1]山东理工大学计算机科学与技术学院,山东淄博255091 [2]张店钢铁总厂,山东淄博255000 |
| |
| 摘 要： | 针对传统的PSO优化BP网络的局限性，提出了一种混沌PSO—DV算法和BP神经网络的混合算法．该算法具有混沌算法的局部搜索遍历性，DE算法的种群多样性及BP神经网络的快速搜索能力等优势．仿真结果表明，混沌PSO—DV优化的BP神经网络应用于汽车发动机故障诊断，使得故障诊断的效率和准确率得到了很大的提高．
|
| 关 键 词： | 混沌PSO—DV算法 BP神经网络 汽车发动机 故障诊断 |
Automotive engine fault diagnosis based on BP neural network optimized by chaos PSO-DV |
| |
| LIU Jian-li,LI Ye-de,ZHANG Tao.Automotive engine fault diagnosis based on BP neural network optimized by chaos PSO-DV[J].Journal of Shandong University of Technology:Science and Technology,2013(1):67-70. |
| |
| Authors: | LIU Jian-li LI Ye-de ZHANG Tao |
| |
| Institution: | 1. School of Computer Science and Technology, Shandong University of Technology, Zibo 255091, China; 2. Zhangdian Iron and Steel, Ziho 255000, China) |
| |
| Abstract: | Aimed at the limitation of BP neural network optimazed by traditional PSO, a novel chaos PSO-DV algorithm was proposed. This algorithm has the advantages of the local search er- godicity of chaos algorithm, the population diversity of the DE algorithm and fast search ability of BP neural network. The simulation results showed that when BP neural network which optimized by chaos PSO-DV was applied on the automotive engine fault diagnosis, the efficiency and accura-cy of fault diagnosis was higher improved. |
| |
| Keywords: | chaos PSO-DV algorithm BP neural network automotive engine fault diagnosis |
| 本文献已被 维普 等数据库收录！ |
