R. Seraoui

发表

Clustering for unsupervised fault diagnosis in nuclear turbine shut-down transients

Enrico Zio, Piero Baraldi, Enrico Zio, 2015 .

Fault Detection in Nuclear Power Plants Components by a Combination of Statistical Methods

Enrico Zio, Piero Baraldi, Redouane Seraoui, 2013, IEEE Transactions on Reliability.

Genetic Algorithm-based Wrapper Approach for Grouping Condition Monitoring Signal of Nuclear Power Plant Components

R. Chevalier, E. Zio, P. Baraldi, 2020 .

A semi-supervised method for the characterization of degradation of nuclear power plants steam generators

Enrico Zio, Piero Baraldi, Enrico Zio, 2021, Progress in Nuclear Energy.

A framework for reconciliating data clusters from a fleet of nuclear power plants turbines for fault diagnosis

Enrico Zio, Piero Baraldi, Sameer Al-Dahidi, 2018, Appl. Soft Comput..

Transients Analysis of a Nuclear Power Plant Component for Fault Diagnosis

Enrico Zio, Piero Baraldi, Redouane Seraoui, 2013 .

Genetic algorithm-based wrapper approach for grouping condition monitoring signals of nuclear power plant components

Enrico Zio, Piero Baraldi, Redouane Seraoui, 2011, Integr. Comput. Aided Eng..

Nuclear Power Plant Components Condition Monitoring by Probabilistic Support Vector Machine

Enrico Zio, Enrico Zio, Redouane Seraoui, 2013 .

A Novel Dynamic-Weighted Probabilistic Support Vector Regression-Based Ensemble for Prognostics of Time Series Data

Enrico Zio, Redouane Seraoui, Valeria Vitelli, 2015, IEEE Transactions on Reliability.

Dynamic Weighted PSVR-Based Ensembles for Prognostics of Nuclear Components

Enrico Zio, Jie Liu, Redouane Seraoui, 2014 .