Experimental study on the vibrational performance and its physical origins of a prototype reversible pump turbine in the pumped hydro energy storage power station

Zhang, Yuning; Zheng, Xianghao; Li, Jinwei; Du, Xiaoze

doi:10.1016/j.renene.2018.06.057

Cited by 98 publications

(34 citation statements)

References 37 publications

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“…The diagnosis of gas turbines is generally carried out through knowledge of its normal behavior, total control of the different operating modes is then essential when considering an advanced diagnosis of this type of machine [9,11,14,16,20,27,29]. Indeed, the application of fuzzy logic techniques improves the reliability of the monitoring system and the sensitivity of fault detection, it is also capable of causing, in severe failures, a turbine stop or allowing the system to continue to operate in degraded mode in the event of a problem which does not require an immediate stop [2,6,8,10,12,22,24,28,30].…”

Section: Fuzzy Diagnosticsmentioning

confidence: 99%

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Faults detection based on fuzzy concepts for vibrations monitoring in gas turbine

Alili¹,

Hafaifa²,

Iratni³

2020

Diagnostyka

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Section: Fuzzy Diagnosticsmentioning

confidence: 99%

“… Danger, vary in the range [0, 30],  Maintenance, vary in the range [30,50],  Warning Alarm, vary in the range [50,70],  Normal, vary in the range [70, 100].…”

Section: Fuzzy Variables Input / Output Of the Examined Gas Turbinementioning

confidence: 99%

Faults detection based on fuzzy concepts for vibrations monitoring in gas turbine

Alili¹,

Hafaifa²,

Iratni³

2020

Diagnostyka

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“…Consider the system motion within a certain ranger and select ω ∈ [−d, d], d=2. For the HTGS (3), according to the delayed T-S fuzzy model (15), the following fuzzy rules can be established.…”

Section: Numerical Experimentsmentioning

confidence: 99%

“…Nonlinear modeling and dynamic analysis of hydraulic turbine governing systems has always been a topic of interest, and there has been much research in this area [11][12][13][14][15][16][17]. There is a consensus that fractional calculus is superior to integer calculus in describing systems with memory, historical dependence, and viscoelasticity [18][19][20][21][22][23][24][25][26][27][28][29].…”

Section: Introductionmentioning

confidence: 99%

Design of a Nonlinear Predictive Controller for a Fractional-Order Hydraulic Turbine Governing System with Mechanical Time Delay

et al. 2019

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A nonlinear predictive control method for a fractional-order hydraulic turbine governing system (HTGS) with a time delay is studied in this paper. First, a fractional-order model of a time-delay hydraulic turbine governing system is presented. Second, the fractional-order hydraulic servo subsystem is transformed into a standard controlled autoregressive moving average (CARMA) model according to the Grünwald-Letnikov (G-L) definition of fractional calculus. Third, based on the delayed Takagi-Sugeno fuzzy model, the fuzzy prediction model of the integer-order part of the HTGS is given. Then, by introducing a fourth-order Runge-Kutta algorithm, the fuzzy prediction model can be easily transformed into the CARMA model. Furthermore, a nonlinear predictive controller is proposed to stabilize the time-delay HTGS. Finally, the experiment results are consistent with the theoretical analysis.

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“…To ensure an improvement of the machine behavior and in the wider sense, decrease fatigue damage, detailed prototype site measurements are required. Within this field of research, knowledge has been developed over several years [14,16] including recent works [17,18]. However, most studies dealing with the effects of air admission are done by using test rigs and model machines.…”

Section: Introductionmentioning

confidence: 99%

Investigation on the Impact of Air Admission in a Prototype Francis Turbine at Low-Load Operation

2019

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Due to significant changes in the energy system, hydraulic turbines are required to operate over a wide power range. In particular, older turbines which are not designed for these environments will suffer under off-design conditions. In order to evaluate whether or not such a turbine could fulfill the new requirements of the energy market, a study about the behavior of a prototype plant in low-load operation is presented. Therefore, prototype site measurements are performed to determine the most damaging operating point by means of acceleration sensors and pressure transducers. Moreover, unsteady computational fluid dynamics (CFD) simulations considering two-phase flow and two hybrid turbulence models are used to analyze the flow conditions inside the turbine. The resulting pressure pulsations are mapped onto the runner blade to obtain stress and further calculate damage factors. Accordingly, the stresses are compared to those obtained by the strain gauge measurement. Moreover, the influence of active flow control by means of air injection on plant behavior and runner lifetime is discussed as well.

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Experimental study on the vibrational performance and its physical origins of a prototype reversible pump turbine in the pumped hydro energy storage power station

Cited by 98 publications

References 37 publications

Faults detection based on fuzzy concepts for vibrations monitoring in gas turbine

Faults detection based on fuzzy concepts for vibrations monitoring in gas turbine

Design of a Nonlinear Predictive Controller for a Fractional-Order Hydraulic Turbine Governing System with Mechanical Time Delay

Investigation on the Impact of Air Admission in a Prototype Francis Turbine at Low-Load Operation

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