Author
Dany Abboud
Bio: Dany Abboud is an academic researcher from University of Lyon. The author has contributed to research in topics: Cyclostationary process & Vibration. The author has an hindex of 4, co-authored 7 publications receiving 181 citations.
Papers
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TL;DR: It is shown that the optimal way of describing cyclo-non-stationary signals is jointly in the time and the angular domains and the related spectral representations, the order-frequency spectral correlation and coherence functions are proposed and their efficiency is demonstrated on two industrial cases.
83 citations
TL;DR: In this article, an angle-time approach was proposed to analyze bearing fault vibrations and explore its angle ⧹ time cyclostationary property, which preserves the cyclic evolution of the signal while maintaining a temporal description of the system dynamics.
61 citations
TL;DR: In this article, a generalized synchronous average (GSA) was proposed to extract the deterministic part of a cyclo-non-stationary vibration signal, i.e. the analog of the periodic part of cyclostationary signals.
50 citations
01 Jan 2014
TL;DR: The object of this chapter is to introduce a new class of processes, coined time-angle periodically correlated, which extends second-order cyclostationary processes to varying regimes, fully characterized by a time-angles autocorrelation function and its double Fourier transform, the frequency-order spectral correlation.
Abstract: Cyclostationary processes have now become an essential mathematical representation of vibration and acoustical signals produced by rotating machines. However, to be applicable the approach requires the rotational speed of the machine to be constant, which imposes a limit to several applications. The object of this chapter is to introduce a new class of processes, coined time-angle periodically correlated, which extends second-order cyclostationary processes to varying regimes. Such processes are fully characterized by a time-angle autocorrelation function and its double Fourier transform, the frequency-order spectral correlation. The estimation of the latter quantity is briefly discussed and demonstrated on a real-world vibration signal captured during a run-up.
13 citations
TL;DR: In this paper , two extensions of the synchronous average, namely the global and the local synchronous fitting, are studied. But the applicability of this technique is confined to the case where signals are recorded under quasi-stationary regimes, which is restrictive for many applications like aeronautics.
4 citations
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TL;DR: In this paper, the Fast Spectral Correlation (FSC) estimator is proposed, which is based on the short-time Fourier transform (STFT) for cyclostationary signals.
228 citations
TL;DR: The problems of statistical function estimation, signal detection, and cycle frequency estimation, and applications in communications are addressed and spectrum sensing and signal classification for cognitive radio, source location, MMSE filtering, and compressive sensing are discussed.
176 citations
TL;DR: Several different machine learning methodologies are compared starting from well-established statistical feature-based methods to convolutional neural networks, and a novel application of dynamic time warping to bearing fault classification is proposed as a robust, parameter free method for race fault detection.
145 citations
TL;DR: In this paper, a multi-dimensional variational decomposition (MDVD) method was proposed for bearing-crack detection in wind turbine gearboxes, where variational mode decomposition was incorporated into convolutive blind-source separation (BSS) to address the challenge of substantial driving-speed variations.
131 citations
TL;DR: A model of rotating machine signals is introduced which sheds light on the various components to be expected in the squared envelope spectrum, and a critical comparison is made of three sophisticated methods, namely, the improved synchronous average, the cepstrum prewhitening, and the generalized synchronousaverage, used for suppressing the deterministic part.
125 citations