Short-term prediction for nuclear power plant failure scenarios using an ensemble-based approach

J. Liu; V. Vitelli; R. Seraoui; F. Di Maio; E. Zio

Short-term prediction for nuclear power plant failure scenarios using an ensemble-based approach

J. Liu
, V. Vitelli
, R. Seraoui
, F. Di Maio
, E. Zio

Research output: Contribution to conference › Paper › peer-review

Abstract

An ensemble-based approach is proposed for the short-term prediction. The proposed approach includes the selection of the inputs using Fuzzy Similarity Analysis (FSA), Probabilistic Support Vector Regression (SVR) model as the single model of the ensemble, and the derivation of the Prediction intervals associated with the predicted value. A case study is shown, regarding the prediction of a drifting process parameter of a Nuclear Power Plant (NPP) component.

Original language	English
Pages	1801-1806
Number of pages	6
State	Published - 2014
Externally published	Yes
Event	European Safety and Reliability Conference, ESREL 2013 - Amsterdam, Netherlands Duration: 29 Sep 2013 → 2 Oct 2013

Conference

Conference	European Safety and Reliability Conference, ESREL 2013
Country/Territory	Netherlands
City	Amsterdam
Period	29/09/13 → 2/10/13

Cite this

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title = "Short-term prediction for nuclear power plant failure scenarios using an ensemble-based approach",

abstract = "An ensemble-based approach is proposed for the short-term prediction. The proposed approach includes the selection of the inputs using Fuzzy Similarity Analysis (FSA), Probabilistic Support Vector Regression (SVR) model as the single model of the ensemble, and the derivation of the Prediction intervals associated with the predicted value. A case study is shown, regarding the prediction of a drifting process parameter of a Nuclear Power Plant (NPP) component.",

author = "J. Liu and V. Vitelli and R. Seraoui and \{Di Maio\}, F. and E. Zio",

year = "2014",

language = "英语",

pages = "1801--1806",

note = "European Safety and Reliability Conference, ESREL 2013 ; Conference date: 29-09-2013 Through 02-10-2013",

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TY - CONF

T1 - Short-term prediction for nuclear power plant failure scenarios using an ensemble-based approach

AU - Liu, J.

AU - Vitelli, V.

AU - Seraoui, R.

AU - Di Maio, F.

AU - Zio, E.

PY - 2014

Y1 - 2014

N2 - An ensemble-based approach is proposed for the short-term prediction. The proposed approach includes the selection of the inputs using Fuzzy Similarity Analysis (FSA), Probabilistic Support Vector Regression (SVR) model as the single model of the ensemble, and the derivation of the Prediction intervals associated with the predicted value. A case study is shown, regarding the prediction of a drifting process parameter of a Nuclear Power Plant (NPP) component.

AB - An ensemble-based approach is proposed for the short-term prediction. The proposed approach includes the selection of the inputs using Fuzzy Similarity Analysis (FSA), Probabilistic Support Vector Regression (SVR) model as the single model of the ensemble, and the derivation of the Prediction intervals associated with the predicted value. A case study is shown, regarding the prediction of a drifting process parameter of a Nuclear Power Plant (NPP) component.

UR - https://www.scopus.com/pages/publications/84900016535

M3 - 论文

AN - SCOPUS:84900016535

SP - 1801

EP - 1806

T2 - European Safety and Reliability Conference, ESREL 2013

Y2 - 29 September 2013 through 2 October 2013

ER -

Short-term prediction for nuclear power plant failure scenarios using an ensemble-based approach

Abstract

Conference

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