Title :
Marginal Hilbert Spectrum Based on EMD Reconstruction and its Application in Fault Diagnosis of Cooling Tower
Author :
He Dhengyun ; Yi Ding
Author_Institution :
Hunan Univ. of Technol., Zhuzhou, China
Abstract :
HHT (Hilbert-Huang Transform) is one kind of adaptive signal processing method and it is suitable for processing nonlinear and non-stationary signal. Amplitude-frequency characteristics of signal are accurately demonstrated through marginal Hilbert spectrum obtained by HHT and EMD reconstruction filter. Fault diagnosis method based on marginal Hilbert spectrum is proposed for non-stationary vibration signal of cooling tower and high resolution superiority of which is verified through experiment. The experiment result indicates which is effective for fault diagnosis of rotating machinery.
Keywords :
Hilbert transforms; adaptive signal processing; cooling towers; fault diagnosis; filtering theory; signal reconstruction; EMD reconstruction filter; Hilbert-Huang transform; adaptive signal processing method; amplitude-frequency characteristics; cooling tower; empirical mode decomposition; fault diagnosis method; marginal Hilbert spectrum; nonlinear signal; nonstationary signal; nonstationary vibration signal; rotating machinery; Adaptive filters; Cooling; Filter banks; Frequency domain analysis; Poles and towers; Vibrations; Cooling tower; Fault diagnosis; Reconstruction filter; Vibration signal; marginal Hilbert spectrum;
Conference_Titel :
Intelligent System Design and Engineering Applications (ISDEA), 2013 Third International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4673-4893-5
DOI :
10.1109/ISDEA.2012.221
