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

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Kumar Pradhan, Prasanta
dc.contributor.author Ranjan Mohanty, Amiya
dc.contributor.author Nitaigour P, Mahalik
dc.contributor.author Ghosh Dastidar, Sabyasachi
dc.date.accessioned 2014-04-22T09:00:09Z
dc.date.available 2014-04-22T09:00:09Z
dc.date.issued 2012
dc.identifier.citation Kumar 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.issn 1740-7516 (electronic)
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/12912
dc.description.abstract Due 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.format.extent 16
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Indian Institute of Technology, Kharagpur, India en
dc.relation.ispartofseries International Journal of Automation and Control en
dc.relation.ispartofseries Volume 6, Nos. 3/4
dc.subject.other Mechanical engineering en
dc.title Fault detection in a centrifugal pump using vibration and motor current signature analysis en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.rights.holder Inderscience
dc.contributor.school Insinööritieteiden korkeakoulu fi
dc.contributor.school School of Engineering fi
dc.subject.keyword pump en
dc.subject.keyword condition monitoring en
dc.subject.keyword vibration analysis en
dc.subject.keyword spectrum en
dc.subject.keyword FDI en
dc.subject.keyword diagnostics en
dc.identifier.urn URN:NBN:fi:aalto-201404221717
dc.type.dcmitype text en
dc.contributor.lab Laboratory of engineering materials en
dc.type.version Final published version en


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