计算机工程与应用2011，Vol.47Issue(14)：233-236,241,5.DOI:10.3778/j.issn.1002-8331.2011.14.067
主成分在输电线路可听噪声预测中的应用研究
Applied research of PCA method to transmission line audible noise prediction
摘要
Abstract
Aimed at solving the multiple-influence-factor problem in the audible noise BP network predictive model on EHV transmission line, 14 factors,which affect the value of audible noise,such as environment,geographical parameter and conductor structure are simplified using Principal Component Analysis(PCA) and a PCA-BP network predictive model is established.Based on measured data of audible noise from 330 kV and 750 kV EHV transmission lines in Gansu province,the principal-component-based model is trained and predicted with Matlab neural network toolbox,and compared with the predictive result of BP neural network model.Results show that PCA is not suitable for the simplification of audible noise influence factors and its predictive ability is worse than that of the BP network,and possible reasons of the PCA failure are pointed out.关键词
主成分分析(PCA)/BP神经网络/超高压输电线路/可听噪声预测Key words
principal component analysis/BP neural network/Extra High Voltage(EHV) transmission line/audible noise prediction分类
信息技术与安全科学引用本文复制引用
李静雅,曹洁,姜梅..主成分在输电线路可听噪声预测中的应用研究[J].计算机工程与应用,2011,47(14):233-236,241,5.基金项目
甘肃电力科学研究院项目(No.H14200906). （No.H14200906）
