A belief function theory method for prognostics in clogging filters

Chemical Engineering Transactions

Volumn 33, Issue , 2013, Pages 847-852

  Baraldi, Piero ^a   Di Maio, Francesco ^a   Mangili, Francesca ^a   Zio, Enrico ^a,b  

^a POLITECNICO DI MILANO   (Italy)

^b EDF R AND D   (France)

Author keywords

[No Author keywords available]

Indexed keywords

BANDPASS FILTERS; FORECASTING; NUCLEAR REACTORS; SEAWATER; UNCERTAINTY ANALYSIS; WATER FILTRATION;

BELIEF ASSIGNMENTS; BELIEF FUNCTION THEORY; DEMPSTER'S RULE; PREDICTION INTERVAL; PROGNOSTIC APPROACH; REFERENCE TRAJECTORIES; REMAINING USEFUL LIVES; RUL PREDICTIONS;

TRAJECTORIES;

EID: 84883809870     PISSN: 22839216     EISSN: 22839216     Source Type: Journal    
DOI: 10.3303/CET1333142     Document Type: Conference Paper

References (8)

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3. Petit-Renaud, S., Denoeux, T., 2004. Nonparametric regression analysis of uncertain and imprecise data using belief functions. International Journal of Approximate Reasoing, Vol 35, pp.1-28.
4. Shafer, G., 1976. A mathematical theory of evidence, Princeton University Press. Princeton, NJ.
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7. Vachtsevanos, G., Lewis, F.L., Roemer, M., Hess, A., Wu, B., 2006. Intelligent Fault Diagnosis and Prognosis for Engineering Systems, 1st edition, John Wiley & Sons, Hoboken.
8. Zio, E., Di Maio, F., 2010. A data-driven fuzzy approach for predicting the remaining useful life in dynamic failure scenarios of a nuclear system. Reliability Engineering & System Safety, Vol. 95(1), pp. 49-57.