File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

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

TitleImproving Hilbert–Huang transform for energy-correlation fluctuation in hydraulic engineering
Authors
KeywordsCondition-based maintenance
Dynamic feature information
False component
Hilbert–Huang transform method
Vortex strip in draft tube
Issue Date2018
Citation
Energy, 2018, v. 164, p. 1341-1350 How to Cite?
AbstractIntense 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.
Persistent Identifierhttp://hdl.handle.net/10722/333345
ISSN
2023 Impact Factor: 9.0
2023 SCImago Journal Rankings: 2.110
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLu, Shibao-
dc.contributor.authorZhang, Xiaoling-
dc.contributor.authorShang, Yizi-
dc.contributor.authorLi, Wei-
dc.contributor.authorSkitmore, Martin-
dc.contributor.authorJiang, Shuli-
dc.contributor.authorXue, Yangang-
dc.date.accessioned2023-10-06T05:18:38Z-
dc.date.available2023-10-06T05:18:38Z-
dc.date.issued2018-
dc.identifier.citationEnergy, 2018, v. 164, p. 1341-1350-
dc.identifier.issn0360-5442-
dc.identifier.urihttp://hdl.handle.net/10722/333345-
dc.description.abstractIntense 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.-
dc.languageeng-
dc.relation.ispartofEnergy-
dc.subjectCondition-based maintenance-
dc.subjectDynamic feature information-
dc.subjectFalse component-
dc.subjectHilbert–Huang transform method-
dc.subjectVortex strip in draft tube-
dc.titleImproving Hilbert–Huang transform for energy-correlation fluctuation in hydraulic engineering-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.energy.2018.08.088-
dc.identifier.scopuseid_2-s2.0-85054657550-
dc.identifier.volume164-
dc.identifier.spage1341-
dc.identifier.epage1350-
dc.identifier.isiWOS:000448098600099-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats