计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2010年
6期
116-119,135
,共5页
小波包变换%改进希尔伯特-黄变换(HHT)%分段插值%混合插值%特征提取
小波包變換%改進希爾伯特-黃變換(HHT)%分段插值%混閤插值%特徵提取
소파포변환%개진희이백특-황변환(HHT)%분단삽치%혼합삽치%특정제취
wavelet packet transform%improved Hilbert-Huang Transform%subsection interpolation%mixed interpolation%feature extraction
希尔伯特-黄变换(HHT)目前还只能算是一种经验方法,其理论依据尚不完备,有待于进一步地完善.分析了HHT中三次样条插值法进行包络线或均值线拟合时引起的过冲和欠冲原因,提出了基于B样条曲线的分段插值算法和混合插值算法的改进HHT,解决了三次样条插值算法容易引起的过冲和欠冲现象;将改进的HHT和小波包变换(WPT)相结合,得到一种有效的瞬时特征分析方法,很好地解决HHT分析带来的模态混叠现象,减少噪声对信号的干扰,提高了信号特征提取的准确性.实验结果表明,该方法用于故障特征提取是有效的.
希爾伯特-黃變換(HHT)目前還隻能算是一種經驗方法,其理論依據尚不完備,有待于進一步地完善.分析瞭HHT中三次樣條插值法進行包絡線或均值線擬閤時引起的過遲和欠遲原因,提齣瞭基于B樣條麯線的分段插值算法和混閤插值算法的改進HHT,解決瞭三次樣條插值算法容易引起的過遲和欠遲現象;將改進的HHT和小波包變換(WPT)相結閤,得到一種有效的瞬時特徵分析方法,很好地解決HHT分析帶來的模態混疊現象,減少譟聲對信號的榦擾,提高瞭信號特徵提取的準確性.實驗結果錶明,該方法用于故障特徵提取是有效的.
희이백특-황변환(HHT)목전환지능산시일충경험방법,기이론의거상불완비,유대우진일보지완선.분석료HHT중삼차양조삽치법진행포락선혹균치선의합시인기적과충화흠충원인,제출료기우B양조곡선적분단삽치산법화혼합삽치산법적개진HHT,해결료삼차양조삽치산법용역인기적과충화흠충현상;장개진적HHT화소파포변환(WPT)상결합,득도일충유효적순시특정분석방법,흔호지해결HHT분석대래적모태혼첩현상,감소조성대신호적간우,제고료신호특정제취적준학성.실험결과표명,해방법용우고장특정제취시유효적.
As a new theory for adaptive time-frequency analysis,the Hilbert-Huang Transform(HHT) is considered to be experiential method,it's necessary to be consummated.When curve fitting for envelope or mean with cubic spline interpolation,it's easily to come into contact with overshoot and undershoot problems.To solve the disfigurement,the subsection interpolation arithmetic based on B spline curve and mixed interpolation curve arithmetic are proposed.Furthermore,it's the effective technique to avoid the aliasing phenomena.An effective analysis method for non-stationary signal based on improved HHT and the Wavelet Packets Decomposition(WPD) is presented in this paper.The proposed method can not only solve the shortcoming in HHT,but also decrease the unnecessary noise influence,and improves the veracity of the signal feature extraction.The results of experiment indicate the proposed method is effective in feature extraction.