Invited Keynote Address: Advanced Signal Processing and Condition Monitoring Session
Résumé
When physical models are of a high complexity, a signal processing approach is helpful for providing accurate information about a system and its failures. The session entitled "Advanced Signal Processing and Condition Monitoring" contains papers who propose new advanced signal processing methods in the context of condition monitoring, diagnostic and fault detection. The methods proposed tackle with the analysis, modelling and/or detection of nonstationary and/or nonlinear signals in time, frequency, time-frequency and/or time-scale domains using parametric, non-parametric and/or statistical approaches. Tools as optimization techniques can cope with the high non-linearity of the system to solve. The methods proposed are successful in decision making and bring on a step up in real-life signal processing applications. Signals or considered models come from domains such as acoustics, vibroacoustics, mechanics and electrical engineering. This keynote address introduces the session papers and gives some insight in spectral and time-frequency analysis.
Origine : Fichiers produits par l'(les) auteur(s)
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