Paper Title
Comparison of Square and Hilbert Based Envelope Analysis Based on Background Noise

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