Improving Hilbert–Huang transform for energy-correlation fluctuation in hydraulic engineering

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

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Author(s)

  • Shibao Lu
  • Yizi Shang
  • Wei Li
  • Martin Skitmore
  • Shuli Jiang
  • Yangang Xue

Detail(s)

Original languageEnglish
Pages (from-to)1341-1350
Journal / PublicationEnergy
Volume164
Early online date16 Aug 2018
StatePublished - 1 Dec 2018

Abstract

Intense vibrations in hydraulic turbine generator unit draft tubes lead to a run-out of the unit shafting and threaten its safe and stable operation. Correct maintenance is therefore important for the safe operation of such units. This study involves assessing the condition of the turbine generator unit by extracting the feature information of its vibration signals. Based on previous research, we present an enhanced Hilbert–Huang transform (HHT) method with an energy-correlation fluctuation criterion to extract feature information and effectively verify the method with simulated signals. An inspection application based on the signal from a vortex strip in the draft tube of a prototype turbine under suboptimal operating conditions indicates that this method is more effective than the traditional one, with a better component identification capability and better suited to the analysis of the complex and dynamic feature information of hydro turbines.

Research Area(s)

  • Condition-based maintenance, Dynamic feature information, False component, Hilbert–Huang transform method, Vortex strip in draft tube

Citation Format(s)

Improving Hilbert–Huang transform for energy-correlation fluctuation in hydraulic engineering. / Lu, Shibao; Zhang, Xiaoling; Shang, Yizi; Li, Wei; Skitmore, Martin; Jiang, Shuli; Xue, Yangang.

In: Energy, Vol. 164, 01.12.2018, p. 1341-1350.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review