2017
DOI: 10.1088/1742-6596/813/1/012035
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Mechanical impact of dynamic phenomena in Francis turbines at off design conditions

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Cited by 13 publications
(12 citation statements)
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“…17 shows the experimental and simulation results of dynamic strain at part-load conditions under the influence of the precessing vortex rope. In this case, the low frequency components of the signal were accurately predicted, while the high components (such as RSI) could not be captured as the time step was not small enough [101].…”
Section: Part Loadmentioning
confidence: 99%
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“…17 shows the experimental and simulation results of dynamic strain at part-load conditions under the influence of the precessing vortex rope. In this case, the low frequency components of the signal were accurately predicted, while the high components (such as RSI) could not be captured as the time step was not small enough [101].…”
Section: Part Loadmentioning
confidence: 99%
“…The dynamic stresses in a part load condition (with the presence of the vortex rope) have been predicted with numerical simulation models recently [68,101]. The estimation of the pressure loads with the CFD model is more complex in this case, since cavitation phenomenon needs to be considered.…”
Section: Part Loadmentioning
confidence: 99%
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“…At part load [37][38][39] (and sometimes at full load [40]), a vortex rope can appear. This vortex rope has a frequency below the rotational frequency of the runner and has the ability to excite the whole hydraulic system [37,[40][41][42].…”
Section: Vortex Ropementioning
confidence: 99%
“…It should be noted that the systems for monitoring and diagnostics of HPP's equipment are constantly evolving, taking into account the tightening requirements for the conditions of the unit's usage [3][4][5][6] and the changing regulatory framework [7][8][9]. In recent years, predictive self-learning systems using artificial intelligence and based on BIG DATA and MACHINE LEARNING (ML) technologies [10][11][12] have been actively introduced at various energy facilities.…”
Section: Introductionmentioning
confidence: 99%