全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

基于PSO的模拟电路故障信息特征提取

, PP. 675-680

Keywords: 信息处理技术,信息熵,粒子群算法,特征提取,模拟电路,故障定位

Full-Text   Cite this paper   Add to My Lib

Abstract:

为了提高容差电路故障诊断的诊断效率,改善电路故障征兆的特征描述,采用基于信息熵的方法生成被测容差电路的故障特征,并提出了基于离散粒子群的容差电路故障信息的特征提取方法,由此确定用于故障诊断的最佳特征子集,并以此训练故障分类器,对容差电路的软故障进行诊断定位。实验证明了基于粒子群和信息熵的特征描述和特征提取方法的有效性。

References

[1]  Liu Hong, Chen Guang-ju, Jiang Shu-yan, et al.A survey of feature extraction approaches in analog circuit fault diagnosis[C]∥Pacific-Asia Workshop on Computational Intelligence and Industrial Application. Wuhan: IEEE Computer Society, 2008: 676-680.
[2]  万九卿,李行善. 基于诊断信息量的测点选择方法[J].电子测量与仪器学报,2005, 19(5):1-5.Wan Jiu-qing,Li Xing-shan. Test point selection based on diagnositc information[J]. Journal of Electronic Measurement and Instrument, 2005, 19(5):1-5.
[3]  Li Bing, Zhang Pei-lin, Liang Shu-bao, et al.Feature extraction and selection for fault diagnosis of gear using wavelet entropy and mutual information[C]∥9th International Conference on Signal Processing, Beijing,2008:2846-2850.
[4]  Cover T M, Thomas J A.信息论基础[M]. 阮吉祥,张华,译.北京:机械工业出版社,2005.
[5]  魏秀业,潘宏侠.粒子群优化及智能故障诊断[M].北京:国防工业出版社,2010.
[6]  周龙甫,师亦兵,赵光,等.模拟电路单软故障的改进粒子群算法诊断[J].计算机应用研究,2010,27(11):4171-4188.Zhou Long-fu, Shi Yi-bing, Zhao Guang, et al. Improved PSO method for single soft fault diagnosis in analog circuit[J]. Application Research of Computers,2010, 27(11):4171-4188.
[7]  王刚,刘元宁,张晓旭,等.基于模糊自适应粒子群的垃圾邮件过滤新方法[J].吉林大学学报:工学版,2011,41(3):716-720.Wang Gang,Liu Yuan-ning, Zhang Xiao-xu,et al. Novel spam filtering method based on fuzzy adaptive particle swarm optimization[J]. Journal of Universi-ty(Engineering and Technology Edition),2011,41(3):716-720.
[8]  龚纯,王正林.精通MATLAB最优化计算[M].北京:电子工业出版社,2012.
[9]  Liu Hong, Chen Guang-ju, Song Guo-ming, et al.Neural network ensemble approach in analog circuit fault diagnosis[C]∥ISNN2009 Proceedings,Wuhan: LNCS& AISC, 2009:749-757.
[10]  宦若红,张平,潘斌贝.PCA、ICA和Gabor小波决策融合的SAR目标识别[J].遥感学报,2012,16(2):268-274.Huan Ruo-hong, Zhang Ping, Pan Yun. SAR target recognition using PCA, ICA and Gabor wavelet decision fusion[J]. Journal of Remote Sensing,2012,16(2): 268-274.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133