广东电力2017，Vol.30Issue(11)：1-5,5.DOI:10.3969/j.issn.1007-290X.2017.011.001
基于小波变换与D-S证据理论的热工目标模式识别
Thermal Target Mode Recognition Based on Wavelet Transform and D-S Evidence Theory
摘要
Abstract
Due to different dynamic characteristics of objects,there are differences in varied time scales of parameters of the thermal power generating unit caused by influence of the same interference source.Therefore,the paper studies a kind of target mode recognition method combining wavelet transform and D-S evidence theory which is to use multi-resolution char-acteristic of wavelet transform to extract characteristic parameters and dynamically align in time-domain,then by means of typical sampling to construct subordinating degree function and finally apply D-S evidence theory to obtain recognition re-sult.Actual example analysis indicates this method can effectively solve the problem of dynamic aligning of combustion sig-nals of different scales in time-domain and reduce uncertainty of target mode recognition caused by inconsistent varied time points of signals.关键词
热工信号/锅炉燃烧/小波变换/D-S证据理论/目标模式识别Key words
thermal signal/boiler combustion/wavelet transform/D-S evidence theory/target mode recognition分类
信息技术与安全科学引用本文复制引用
洪雨楠,刘鑫屏..基于小波变换与D-S证据理论的热工目标模式识别[J].广东电力,2017,30(11):1-5,5.基金项目
国家重点基础研究发展计划(973计划)项目(2012CB215203) （973计划）
