Research of brake sound acoustic features extraction based on frequency-domain blind deconvolution

2015 ◽  
Author(s):  
Nan Pan ◽  
Zeguang Yi
Keyword(s):  
Frequency Domain ◽  
Blind Deconvolution ◽  
Features Extraction ◽  
Acoustic Features

scholarly journals Monitoring of Fatigue Crack Propagation by Damage Index of Ultrasonic Guided Waves Calculated by Various Acoustic Features

2019 ◽  
Vol 9 (20) ◽  
pp. 4254 ◽  
Author(s):  
Hashen Jin ◽  
Jiajia Yan ◽  
Weibin Li ◽  
Xinlin Qing
Keyword(s):  
Fatigue Crack ◽  
Crack Propagation ◽  
Frequency Domain ◽  
Fatigue Crack Propagation ◽  
Guided Waves ◽  
Fatigue Cracks ◽  
Damage Index ◽  
Ultrasonic Guided Waves ◽  
Acoustic Features ◽  
Reliable Technique

Under cyclic and repetitive loads, fatigue cracks can be further propagated to a crucial level by accumulation, causing detrimental effects to structural integrity and potentially resulting in catastrophic consequences. Therefore, there is a demand to develop a reliable technique to monitor fatigue cracks quantitatively at an early stage. The objective of this paper is to characterize the propagation of fatigue cracks using the damage index (DI) calculated by various acoustic features of ultrasonic guided waves. A hybrid DI scheme for monitoring fatigue crack propagation is proposed using the linear fusion of damage indices (DIs) and differential fusion of DIs. An experiment is conducted on an SMA490BW steel plate-like structure to verify the proposed hybrid DIs scheme. The experimental results show that the hybrid DIs from various acoustic features can be used to quantitatively characterize the propagation of fatigue cracks, respectively. It is found that the fused DIs calculated by the acoustic features in the frequency domain have an improved reliable manner over those of the time domain. It is also clear that the linear and differential amplitude fusion DIs in the frequency domain are more promising to indicate the propagation of fatigue cracks quantitatively than other fused ones.

Application of Frequency-Domain Blind Deconvolution in Mechanical Fault Detection

2011 ◽  
Vol 130-134 ◽  
pp. 2128-2132
Author(s):  
Nan Pan ◽  
Wu Xing ◽  
Yi Lin Chi ◽  
Liu Chang ◽  
Xiao Qin Liu
Keyword(s):  
Fault Detection ◽  
Frequency Domain ◽  
Blind Deconvolution ◽  
Rolling Bearing ◽  
Blind Signal Processing ◽  
Blind Signal ◽  
Fastica Algorithm ◽  
Amplitude Correlation ◽  
Signal Processing Methods ◽  
Acceleration Signals

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.

Efficient Frequency Domain Implementation of Noncausal Multichannel Blind Deconvolution for Convolutive Mixtures of Speech

2012 ◽  
Vol 20 (8) ◽  
pp. 2365-2377 ◽  
Author(s):  
Seyedmahdad Mirsamadi ◽  
Shabnam Ghaffarzadegan ◽  
Hamid Sheikhzadeh ◽  
Seyed Mohammad Ahadi ◽  
Amir Hossein Rezaie
Keyword(s):  
Frequency Domain ◽  
Blind Deconvolution ◽  
Convolutive Mixtures
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