现代制造工程Issue(11)：145-149,5.DOI:10.16731/j.cnki.1671-3133.2017.11.027
基于双树复小波包的柴油机时频奇异谱特征提取研究
Study on diesel engine feature extraction of time-frequency singular value spectrum based on dual-tree complex wavelet packet transform
摘要
Abstract
In view of the limitation of mass calculation,slow analysis velocity and complicated feature extraction of traditional time-frequency,the feature extraction method of diesel engine based on time-frequency distribution singular value spectrum was proposed.The discrete Dual-Tree Complex Wavelet Packet Transform (DT-CWPT) transform method and the discrete time-frequency distribution was studied,then the feature was extracted by singular value decomposition.The comparison of calculation efficiency and feature extraction effect was analyzed based on different working condition test of diesel engine.The results indicate that the method has high computation efficiency and good performance of accuracy.关键词
双树复小波包/离散时频分布/特征提取/时频奇异谱Key words
dual-tree complex wavelet packet transform/discrete time frequency distribution/feature extraction/time frequency singular value spectrum分类
机械制造引用本文复制引用
吴定海,范红波,宋彬,韩兰懿..基于双树复小波包的柴油机时频奇异谱特征提取研究[J].现代制造工程,2017,(11):145-149,5.基金项目
国家自然科学基金资助项目(51305454) （51305454）
