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  • Není k dispozici (cs)
  • This paper addresses the problem of on-line diagnosis of cavitation in centrifugal pumps. The paper introduces an application of the Open Prediction System (OPS) to cavitation diagnosis. The application of OPS results in an algorithmic framework for diagnosis of cavitation in centrifugal pumps. The diagnosis is based on repeated evaluation of a data scan providing full record of input signals which are observed for a fixed short period of time. Experimental verification of the algorithmic framework and the proposed methodology proved that a condition monitoring system built upon them is capable of diagnosing a wide range of cavitation conditions that can occur in a centrifugal pump, including the very early incipient cavitation.
  • This paper addresses the problem of on-line diagnosis of cavitation in centrifugal pumps. The paper introduces an application of the Open Prediction System (OPS) to cavitation diagnosis. The application of OPS results in an algorithmic framework for diagnosis of cavitation in centrifugal pumps. The diagnosis is based on repeated evaluation of a data scan providing full record of input signals which are observed for a fixed short period of time. Experimental verification of the algorithmic framework and the proposed methodology proved that a condition monitoring system built upon them is capable of diagnosing a wide range of cavitation conditions that can occur in a centrifugal pump, including the very early incipient cavitation. (en)
Title
  • Není k dispozici (cs)
  • Intelligent Diagnosis and Learning in Centrifugal Pumps
  • Intelligent Diagnosis and Learning in Centrifugal Pumps (en)
skos:prefLabel
  • Není k dispozici (cs)
  • Intelligent Diagnosis and Learning in Centrifugal Pumps
  • Intelligent Diagnosis and Learning in Centrifugal Pumps (en)
skos:notation
  • RIV/68407700:21230/04:03099698!RIV/2005/MSM/212305/N
http://linked.open.../vavai/riv/strany
  • 513 ; 522
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM 212300013)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 568501
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/04:03099698
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Industrial diagnosis; cavitation; condition-based maintenance; data mining; mining dependent data (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [6D66C5AAB64A]
http://linked.open...v/mistoKonaniAkce
  • Vídeň
http://linked.open...i/riv/mistoVydani
  • New York
http://linked.open...i/riv/nazevZdroje
  • Emerging Solutions for Future Manufacturing Systems
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Kléma, Jiří
  • Nováková, Lenka
  • Kout, Jan
  • Flek, Ondřej
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 0-387-22828-4
http://localhost/t...ganizacniJednotka
  • 21230
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