Application of Possibilistic C-Means for Fault Detection in Nuclear Power Plant Data

作者：Perasso Annalisa^*; Campi Cristina; Toraci Cristian; Benvenuto Francesco; Piana Michele; Massone Anna Maria

来源：Journal of Engineering for Gas Turbines and Power, 2015, 137(6): 062901.

DOI：10.1115/1.4028809

This paper describes a classification method for automatic fault detection in nuclear power plant (NPP) data. The method takes as input time series associated to specific parameters and realizes signal classification by using a clustering algorithm based on possibilistic C-means (PCM). This approach is applied to time series recorded in a CANDU (R) power plant and is validated by comparison with results provided by a classification method based on principal component analysis (PCA).

• 出版日期2015-6