Non-intrusive detection of rotating stall in pump-turbines

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dc.citation.journalTitleMECHANICAL SYSTEMS AND SIGNAL PROCESSING
dc.contributor.authorBotero, F.
dc.contributor.authorHasmatuchi, V.
dc.contributor.authorRoth, S.
dc.contributor.authorFarhat, M.
dc.contributor.researchgroupMecánica Aplicadaspa
dc.date.accessioned2021-04-16T20:10:36Z
dc.date.available2021-04-16T20:10:36Z
dc.date.issued2014-10-03
dc.description.abstractWhen operated far from their optimum conditions, pump-turbines may exhibit strong hydrodynamic instabilities, often called rotating stall, which lead to substantial increase of vibration and risk of mechanical failure. In the present study, we have investigated the flow filed in a model of radial pump-turbine with the help of tuft visualization, wall pressure measurement and structure-borne noise monitoring. As the rotation speed is increased, the machine is brought from its optimum operation to runaway with zero torque on the shaft. The runaway operation is characterized by a significant increase of pressure fluctuation at the rotor-stator interaction frequency. As the speed is further increased, the flow exhibits sub-synchronous instability, which rotates at 70% of the rotation frequency. Tuft visualization clearly shows that, as the instability evolves, the flow in a given distributor channel suddenly stalls and switches to reverse pumping mode in periodic way. We have also investigated the monitoring of the rotating stall with the help of vibration signals. A specific signal processing method, based on amplitude demodulation, was developed. The use of 2 accelerometers allows for the identification of the optimum carrier frequency by computing the cyclic coherence of vibration signals. This non-intrusive method is proved to be efficient in detecting the rotating stall instability and the number of stall cells. We strongly believe that it could be implemented in full scale pump-turbines. © 2014 Elsevier Ltd.eng
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=1249
dc.identifier.doi10.1016/j.ymssp.2014.03.007
dc.identifier.issn8883270
dc.identifier.issn295981spa
dc.identifier.otherWOS;000338603900012
dc.identifier.otherSCOPUS;2-s2.0-84901694796
dc.identifier.urihttp://hdl.handle.net/10784/29162
dc.language.isoengeng
dc.publisherACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
dc.publisher.departmentUniversidad EAFIT. Departamento de Ingeniería Mecánicaspa
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84901694796&doi=10.1016%2fj.ymssp.2014.03.007&partnerID=40&md5=1688f523cda254e6336601fa348cf674
dc.rightshttps://v2.sherpa.ac.uk/id/publication/issn/1096-1216
dc.sourceMECHANICAL SYSTEMS AND SIGNAL PROCESSING
dc.subject.keywordBearings (machine parts)eng
dc.subject.keywordNoise pollutioneng
dc.subject.keywordSignal processingeng
dc.subject.keywordVisualizationeng
dc.subject.keywordNon-intrusive monitoringeng
dc.subject.keywordOff designseng
dc.subject.keywordPump-turbineseng
dc.subject.keywordRotating stallseng
dc.subject.keywordStructure-borne noiseeng
dc.subject.keywordHydraulic turbineseng
dc.titleNon-intrusive detection of rotating stall in pump-turbineseng
dc.typeinfo:eu-repo/semantics/articleeng
dc.typearticleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
dc.type.localArtículospa

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