Marginal Hilbert Spectrum Based on EMD Reconstruction and its Application in Fault Diagnosis of Cooling Tower

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 fil...

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Bibliographic Details
Main Authors: Dhengyun, He, Ding, Yi
Format: Conference Proceeding
Language:English
Subjects:
Adaptive filters
Conferences
Cooling
Cooling tower
Cooling towers
Fault diagnosis
Filter banks
Frequency domain analysis
marginal Hilbert spectrum
Poles and towers
Reconstruction
Reconstruction filter
Signal processing
Systems design
Transforms
Vibration
Vibration signal
Vibrations
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Summary: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.
DOI:10.1109/ISDEA.2012.221