Extrapolation of dynamic load behaviour on hydroelectric turbine blades with cyclostationary modelling. (1st January 2017)

• Record Type: Journal Article
• Authors: Poirier, Marc; Gagnon, Martin; Tahan, Antoine; Coutu, André; Chamberland-lauzon, Joël
• Is Part Of: Mechanical systems and signal processing. Volume 82(2017)
• Page Start: 193
• Page End: 205
• Publication Date: 2017-01-01
• Subjects: Cyclostationarity -- Hydroelectric turbine -- Signal extrapolation -- Stochastic simulation -- Extremes values -- Fatigue; Structural dynamics -- Periodicals; Vibration -- Periodicals; Constructions -- Dynamique -- Périodiques; Vibration -- Périodiques; Structural dynamics; Vibration; Periodicals; 621
• DOI: 10.1016/j.ymssp.2016.05.018
• Languages: English
• ISSNs: 0888-3270

Abstract

Abstract: In this paper, we present the application of cyclostationary modelling for the extrapolation of short stationary load strain samples measured in situ on hydraulic turbine blades. Long periods of measurements allow for a wide range of fluctuations representative of long-term reality to be considered. However, sampling over short periods limits the dynamic strain fluctuations available for analysis. The purpose of the technique presented here is therefore to generate a representative signal containing proper long term characteristics and expected spectrum starting with a much shorter signal period. The final objective is to obtain a strain history that can be used to estimate long-term fatigue behaviour of hydroelectric turbine runners. Highlights: Stochastic simulation using cyclostationary modelling. Dynamic behaviour analysis from signals measured on Hydrolectric turbines. Data collected on short periods of time. Extrapolation of fatigue loads from stationary signal. Proper extrapolation of extreme values.