A Novel Ensemble Clustering for Operational Transients Classification with Application to a Nuclear Power Plant Turbine

The objective of the present work is to develop a novel approach for combining in an ensemble multiple base clusterings of operational transients of industrial equipment, when the number of clusters in the final consensus clustering is unknown. A measure of pairwise similarity is used to quantify th...

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Bibliographic Details
Main Authors: Sameer Al-Dahidi, Francesco Di Maio, Piero Baraldi, Enrico Zio, Redouane Seraoui
Format: Article
Language:English
Published: The Prognostics and Health Management Society 2015-12-01
Series:International Journal of Prognostics and Health Management
Subjects:
Online Access:https://papers.phmsociety.org/index.php/ijphm/article/view/2267