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Communication Dans Un Congrès Année : 2012

A wavelet-based approach for condition monitoring of a gas turbine during start-up transients

Résumé

When condition monitoring is performed during plant operational transients, the intrinsically dynamic behavior of the signals should be taken into account. To this aim, an approach based on i) the preprocessing of the signals by means of Haar wavelet transforms and ii) signal reconstruction by means of Auto-Associative Kernel Regression is here proposed. Its performance is verified with respect to a case study concerning the condition monitoring of a gas turbine during start-up transients. Copyright
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Dates et versions

hal-04366333 , version 1 (28-12-2023)

Identifiants

  • HAL Id : hal-04366333 , version 1

Citer

P. Baraldi, F. Di Maio, Luca Pappaglione, E. Zio, Redouane Seraoui. A wavelet-based approach for condition monitoring of a gas turbine during start-up transients. 11th International Probabilistic Safety Assessment and Management Conference and the Annual European Safety and Reliability Conference 2012, PSAM11 ESREL 2012, Jun 2012, Helsinki, France. pp.459-464. ⟨hal-04366333⟩
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