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Maximizing the skewness of a measured signal by adaptive filtering to reveal hidden periodic impulses is proposed as a preprocessing method. Periodic impulsive signals are modeled by harmonically related sinusoids to prove that amplitude and phase distortion from a transfer function, effects of sinusoidal interferences, and noise can be compensated for by a linear filter. The convergence behavior...
This paper considers the performance penalty of a blind, compared to a non-blind, separation technique of a MIMO-FIR channel. In the blind method the mixing filters are first identified, while they are assumed to be known in the non-blind case. The blind system identification is performed using a recently proposed method based on cumulant subspace decomposition. Separation is then achieved by the...
Blind adaptation with appropriate objective function results in enhancement of signal of interest. Skewness is chosen as a measure of impulsiveness for blind adaptation to enhance impacting sources arising from defective rolling bearings. Such impacting sources can be modelled with harmonically related sinusoids which leads to discovery of harmonic content with unknown fundamental frequency by skewness...
The scale invariant third order moment, skewness, is analysed as an objective function to an adaptive gradient ascent algorithm. The purpose is to achieve a spectrum at the filter output that can enable identification of possible bearing defect signatures which are impulsive and periodic. Harmonically related sinusoids are used to represent such signatures and to build a signal model allowing characterization...
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