A novel ensemble clustering for operational transients classification with application to a nuclear power plant turbine

AL-DAHIDI, SAMEER MAHMOUD AHMED;DI MAIO, FRANCESCO;BARALDI, PIERO;ZIO, ENRICO;
2015-01-01

2015
Ensemble clustering; Final consensus clustering; Nuclear power plant (NPP) turbine shut-down; Operational transients; Spectral clustering; Unsupervised learning; Computer Science (miscellaneous); Energy Engineering and Power Technology; Civil and Structural Engineering; Mechanical Engineering; Safety, Risk, Reliability and Quality
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/985396
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