Fault detection in a centrifugal pump using vibration and motor current signature analysis

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorKumar Pradhan, Prasanta
dc.contributor.authorRanjan Mohanty, Amiya
dc.contributor.authorNitaigour P, Mahalik
dc.contributor.authorGhosh Dastidar, Sabyasachi
dc.contributor.labLaboratory of engineering materialsen
dc.contributor.schoolInsinööritieteiden korkeakoulufi
dc.contributor.schoolSchool of Engineeringfi
dc.date.accessioned2014-04-22T09:00:09Z
dc.date.available2014-04-22T09:00:09Z
dc.date.issued2012
dc.description.abstractDue to growth of mechanisation and automation, today’s industrial systems are becoming more complex. A small breakdown of any non-redundant machine component affects the operation of the entire system. To increase the availability and reliability, automated health monitoring and self-diagnostic capability (SDC) becoming essential to many industrial machineries like pumps, motors, etc. Condition monitoring does not prevent the failure, but it can predict the possibility of future failure by measuring certain machine parameters. Though there are various condition monitoring techniques, vibration analysis and motor current signature analysis (MCSA) are most suitable for detection of faults and abnormalities in machine systems. This work attempts to develop an SDC framework and diagnose the impeller condition of a centrifugal pump using MCSA. Time and frequency domain analyses are done for different impeller conditions of the pump, such as normal impeller and defective impellers. Significant differences are observed and a fault prediction strategy is recommended.en
dc.description.versionPeer revieweden
dc.format.extent16
dc.format.mimetypeapplication/pdfen
dc.identifier.citationKumar Pradhan, Prasanta & Ranjan Mohanty, Amiya & Nitaigour P, Mahalik & Ghosh Dastidar, Sabyasachi &. 2012. Fault detection in a centrifugal pump using vibration and motor current signature analysis. International Journal of Automation and Control. Volume 6, Nos. 3/4. ISSN 1740-7516 (electronic).en
dc.identifier.issn1740-7516 (electronic)
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/12912
dc.identifier.urnURN:NBN:fi:aalto-201404221717
dc.language.isoenen
dc.publisherIndian Institute of Technology, Kharagpur, Indiaen
dc.relation.ispartofseriesInternational Journal of Automation and Controlen
dc.relation.ispartofseriesVolume 6, Nos. 3/4
dc.rights.holderInderscience
dc.subject.keywordpumpen
dc.subject.keywordcondition monitoringen
dc.subject.keywordvibration analysisen
dc.subject.keywordspectrumen
dc.subject.keywordFDIen
dc.subject.keyworddiagnosticsen
dc.subject.otherMechanical engineeringen
dc.titleFault detection in a centrifugal pump using vibration and motor current signature analysisen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.dcmitypetexten
dc.type.versionFinal published versionen
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