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Statement Networks to Condition Monitoring of the Sealless Pump

Statement Networks to Condition Monitoring of the Sealless Pump Abstract This paper shows an application of multi-layer statement networks to condition monitoring of the sealless magnetic drive pump. In this case, statement networks are computed based on the use of Bayesian probabilities. Moreover, the tool called REx which allows implementing such networks is described. An example of created four-layer network as well as final results of the performed tests shows also. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Electronics and Telecommunications de Gruyter

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References (13)

Publisher
de Gruyter
Copyright
Copyright © 2014 by the
ISSN
2300-1933
eISSN
2300-1933
DOI
10.2478/eletel-2014-0034
Publisher site
See Article on Publisher Site

Abstract

Abstract This paper shows an application of multi-layer statement networks to condition monitoring of the sealless magnetic drive pump. In this case, statement networks are computed based on the use of Bayesian probabilities. Moreover, the tool called REx which allows implementing such networks is described. An example of created four-layer network as well as final results of the performed tests shows also.

Journal

International Journal of Electronics and Telecommunicationsde Gruyter

Published: Oct 28, 2014

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