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Flow-induced instabilities of reversible pump turbines

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Flow-induced instabilities of reversible pump turbinesby Xianghao Zheng ... [et al.].
其他作者:	Zheng, Xianghao.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xii, 96 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Pump turbinesPerformance.
電子資源:	https://doi.org/10.1007/978-3-031-18057-6
ISBN:	9783031180576$q(electronic bk.)

Flow-induced instabilities of reversible pump turbines
Flow-induced instabilities of reversible pump turbines[electronic resource] /by Xianghao Zheng ... [et al.]. - Cham :Springer International Publishing :2022. - xii, 96 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in energy,2191-5539. - SpringerBriefs in energy..

Introduction -- Generation Mechanisms of Typical Unstable Flows -- Flow-induced Pressure Fluctuations and Vibrations in Generating Mode -- Flow-induced Transient Pressure Fluctuations During Start-up Process of Pumping Mode -- Evaluation of Operational Stability of Main Shaft -- Intelligent Recognition of Flow-induced Vibration Faults -- Conclusions.

This brief provides a comprehensive introduction on the flow-induced instabilities (e.g., the pressure fluctuations and the vibrations) of the reversible pump turbines (RPTs) in the pumped hydro energy storage power stations (PHSEPSs) in China based on long-term field tests. The pressure fluctuations and the vibrations of several RPTs in China under different operational conditions are analysed in detail to reveal their generation mechanisms and propagation characteristics. The book presents advanced signal analysis and processing methods which are used for obtaining the time-frequency information and for finding the internal correlations between several types of signals. Advanced artificial intelligence algorithms are adopted for understanding the effective fault diagnosis and the identification of different flow patterns. The book overviews the fundamentals of the RPTs and the signal analysis methods, while it demonstrates that the analysis results of the pressure fluctuation and vibration data may be employed for the calibration of numerical simulations and the comparisons of model tests. It is primarily targeted to researchers and engineers working on the fields of condition monitoring and fault diagnosis of hydraulic machineries.

ISBN: 9783031180576$q(electronic bk.)

Standard No.: 10.1007/978-3-031-18057-6doiSubjects--Topical Terms:

937062
Pump turbines
--Performance.

LC Class. No.: TJ873

Dewey Class. No.: 621.24

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245 0 0 $a Flow-induced instabilities of reversible pump turbines $h [electronic resource] / $c by Xianghao Zheng ... [et al.].
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300 $a xii, 96 p. : $b ill. (some col.), digital ; $c 24 cm.
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505 0 $a Introduction -- Generation Mechanisms of Typical Unstable Flows -- Flow-induced Pressure Fluctuations and Vibrations in Generating Mode -- Flow-induced Transient Pressure Fluctuations During Start-up Process of Pumping Mode -- Evaluation of Operational Stability of Main Shaft -- Intelligent Recognition of Flow-induced Vibration Faults -- Conclusions.
520 $a This brief provides a comprehensive introduction on the flow-induced instabilities (e.g., the pressure fluctuations and the vibrations) of the reversible pump turbines (RPTs) in the pumped hydro energy storage power stations (PHSEPSs) in China based on long-term field tests. The pressure fluctuations and the vibrations of several RPTs in China under different operational conditions are analysed in detail to reveal their generation mechanisms and propagation characteristics. The book presents advanced signal analysis and processing methods which are used for obtaining the time-frequency information and for finding the internal correlations between several types of signals. Advanced artificial intelligence algorithms are adopted for understanding the effective fault diagnosis and the identification of different flow patterns. The book overviews the fundamentals of the RPTs and the signal analysis methods, while it demonstrates that the analysis results of the pressure fluctuation and vibration data may be employed for the calibration of numerical simulations and the comparisons of model tests. It is primarily targeted to researchers and engineers working on the fields of condition monitoring and fault diagnosis of hydraulic machineries.
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