Fourier-Bessel series expansion based blind deconvolution method for bearing fault detection
Elia Soave  1@  , D'elia Gianluca  1  , Dalpiaz Giorgio  1  
1 : Dipartimento di Ingegneria [Ferrara]

In the last few years blind deconvolution techniques proved to be useful in order to extract impulsive patterns related to bearing fault from noisy vibrational signals.
Recently, a novel blind deconvolution method based on the generalized Rayleigh quotient has been proposed and an iterative algorithm related to the maximization of the cyclostationarity of the source has been defined.
This paper presents a new condition indicator that exploits the Fourier-Bessel series expansion for the computation of a new cyclostationarity index that drives the maximization problem for the extraction of the excitation source.
This work compares the proposed indicator with the classical one, based on the Fourier transform, in term of computation efficiency.
The comparison between the application of the two different methods involves both simulated and real signal taking into account a bearing fault.
The results prove the capability of the new indicator to extract the impulsive source without the need of a complete set of cyclic frequencies but only with the fundamental one, with a strong reduction of the computational time.


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