scholarly journals Band-pass Filter based Artificial Filter Bank for Structural Health Monitoring

2015 ◽  
Vol 25 (12) ◽  
pp. 843-855
Author(s):  
Gwanghee Heo ◽  
Joonryong Jeon ◽  
Seunggon Jeon
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Filter Bank ◽  
Band Pass Filter ◽  
Pass Filter ◽  
Structural Health ◽  
Band Pass

Pole-shared linear-phase band-pass filter bank

1966 ◽  
Vol 54 (4) ◽  
pp. 701-703 ◽  
Author(s):  
P.R. Drouilhet ◽  
L.M. Goodman
Keyword(s):  
Filter Bank ◽  
Band Pass Filter ◽  
Linear Phase ◽  
Pass Filter ◽  
Band Pass

Non-uniform Band-Pass Filter Bank for an UWB MB-OOK Transceiver Architecture

2007 ◽  
Author(s):  
Martha Liliana Suarez Penaloza ◽  
Martine Villegas ◽  
Genevieve Baudoin
Keyword(s):  
Filter Bank ◽  
Band Pass Filter ◽  
Pass Filter ◽  
Band Pass

Rolling Bearing Feature Extraction Based on Wavelet Filtering with Optimal Combination Bands

2014 ◽  
Vol 599-601 ◽  
pp. 434-440
Author(s):  
Shuai Zhang ◽  
Yong Xiang Zhang ◽  
Jie Ping Zhu
Keyword(s):  
Feature Extraction ◽  
Filter Bank ◽  
Rolling Bearing ◽  
Optimal Combination ◽  
Band Pass Filter ◽  
Wavelet Filtering ◽  
Pass Filter ◽  
Band Pass ◽  
The Common ◽  
Combination Bands

In order to select the band-pass filter parameters reasonably, a new method of rolling bearing feature extraction based on wavelet filtering with optimal combination bands is proposed. Filter banks with different number of filter/octave are constructed by Morlet wavelet, which are used to filter the signal. The filters with the optimal frequency-band are selected according to the kurtosis of the filtered signal. Then, the optimal band filters in each filter bank are combined to filter the signals and the feature extraction is available. Through simulation and experimental verification, results show that the proposed method is more effective than the common one.

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