DOIONLINE 
DOIONLINE Publish In |
International Journal of Industrial Electronics and Electrical Engineering (IJIEEE)-IJIEEE |
 Journal Home Volume Issue |
||||||||
Issue |
Volume-4,Issue-10 ( Oct, 2016 ) | |||||||||
Paper Title |
Comparison of Square and Hilbert Based Envelope Analysis Based on Background Noise | |||||||||
Author Name |
Md Saiful Islam, Farhana Shirin Chowdhury, Jung-Chul Lee, Uipil Chong | |||||||||
Affilition |
University of Ulsan Ulsan, South Korea Premier University Chittagong, Bangladesh | |||||||||
Pages |
57-61 | |||||||||
Abstract |
The bearing fault is the most common in the rotating machines faults. Envelope analysis for rolling element bearing diagnostics has gained in the last years a leading role among the different digital signal processing techniques. This paper deals with the use of a simple and effective signal processing technique of square and Hilbert-based envelope analysis for detecting rolling element bearing faults. This paper also compares the bearing fault detection capability obtained with square and Hilbert-based envelope analysis. For this purpose additional white Gaussian noise (AWGN) and random noise are used with different SNR. Simulation results show that the noise sensitivity of the Hilbert-based envelope is higher than that of the square envelope. Square envelope shows steady in response to both AWGN and random noise. Keywords- Hilbert transform, squared envelope, bearing faults, Noise analysis, SNR | |||||||||
| View Paper | ||||||||||
