The week's pick
Reseach Article
A Comparison of Fast Kurtogram and SFLA based-ED Techniques for Bearing Fault Detection
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 177 - Number 18 |
| Year of Publication: 2019 |
| Authors: Duc Hoang Nguyen |
10.5120/ijca2019919642
|
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
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
- R. B. Randall and J. Antoni. 2011. Rolling element bearing diagnostics—A tutorial. Mechanical Systems and Signal Processing. Elsevier Ltd.
- J. Antoni. 2007. Fast computation of the kurtogram for the detection of transient faults. Mechanical Systems and Signal Processing. Elsevier Ltd.
- Muzaffar Eusuff, Kevin Lansey and Fayzul Pasha. 2006. Shuffled frog-leaping algorithm: a memetic meta-heuristic for discrete optimization. Engineering Optimization. Taylor & Francis Online.
- A. Darvishi, A. Alimardani, B. Vahidi, S.H. Hosseinian. 2014. Shuffled Frog-Leaping Algorithm for Control of Selective and Total Harmonic Distortion. Journal of Applied Research and Technology.
- Kaushik Kumar Bhattacharjee, S.P. Sarmah. 2014. Shuffled frog leaping algorithm and its application to 0/1 knapsack problem. Applied Soft Computing.
- Yi Han, et al. 2013. Shuffled Frog Leaping Algorithm for Preemptive Project Scheduling Problems with Resource Vacations Based on Patterson Set. Journal of Applied Mathematics.
- Daniel Mora-Melia, Pedro L. Iglesias-Rey, F. Javier Martínez-Solano and Pedro Muñoz-Velasco. 2016. The Efficiency of Setting Parameters in a Modified Shuffled Frog Leaping Algorithm Applied to Optimizing Water Distribution Networks. Water, MDPI.
- Dina M. Said, Nabil M. Hamed, Almoataz Y. Abdelaziz. 2016. Shuffled Frog Leaping Algorithm for Economic Dispatch with Valve Loading Effect. International Electrical Engineering Journal.
- Duc-Hoang Nguyen and Thai-Hoang Huynh. 2008. A SFLA-Based Fuzzy Controller for Balancing a Ball and Beam System. Tenth IEEE International Conference on Control, Automation, Robotics and Vision (ICARCV 2008).
- Loparo KA. Case Western Reserve University Bearing Data Center. http://csegroups.case.edu/bearingdatacenter/
- Wade A. Smith, Robert B. Randall. 2015. Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study. Mechanical Systems and Signal Processing. Elsevier Ltd.
- S. Tyagi, S.K. Panigrahi. 2017. An improved envelope detection method using Particle Swarm Optimisation for rolling element bearing fault diagnosis. Journal of Computational Design and Engineering.
Index Terms
Keywords