Research Article
A Comparison of Fast Kurtogram and SFLA based-ED Techniques for Bearing Fault Detection
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 177 - Issue 18 |
| Published: Nov 2019 |
| Authors: Duc Hoang Nguyen |
10.5120/ijca2019919642
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Duc Hoang Nguyen . A Comparison of Fast Kurtogram and SFLA based-ED Techniques for Bearing Fault Detection. International Journal of Computer Applications. 177, 18 (Nov 2019), 39-45. DOI=10.5120/ijca2019919642
@article{ 10.5120/ijca2019919642,
author = { Duc Hoang Nguyen },
title = { A Comparison of Fast Kurtogram and SFLA based-ED Techniques for Bearing Fault Detection },
journal = { International Journal of Computer Applications },
year = { 2019 },
volume = { 177 },
number = { 18 },
pages = { 39-45 },
doi = { 10.5120/ijca2019919642 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2019
%A Duc Hoang Nguyen
%T A Comparison of Fast Kurtogram and SFLA based-ED Techniques for Bearing Fault Detection%T
%J International Journal of Computer Applications
%V 177
%N 18
%P 39-45
%R 10.5120/ijca2019919642
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The paper proposes a method using Shuffled Frog Leaping Algorithm (SFLA) to identify the optimal frequencies (center frequency and bandwith) of the bandpass filter. Addtion, fast kurtogram is also used to find the optimal bandpass filter. Simulated results on the data sets of the CWRU Bearing Data Center verify the effectiveness of SFLA approach, and show that the proposed method outperforms fast kurtogram.
References
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