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 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.