Application of Frequency-Domain Blind Deconvolution in Mechanical Fault Detection
Nan Pan, Xing Wu, Yi Lin, Chang Liu, Xiao Qin Liu · Applied Mechanics and Materials · 2011
On the basis of summing up the Frequency-Domain Blind Deconvolution (FDBD), a method combine Complex-Domain FastICA algorithm and amplitude correlation was proposed to extract the typical defect signals from mechanical equipment. The application in combined failure rolling bearing acceleration signals demonstrate that, comparing with the existing Time-Domain Blind Signal Processing methods, FDBD has more advantages and better prospects in mechanical fault detection.