Affiliations: Energy Department, Politecnico di Milano, Via Ponzio, Milan, Italy | Chair on Systems Science and the Energetic Challenge, Ecole Centrale Paris and Supelec, France | EDF-R&D\STEP Simulation et Traitement de l'information pour l'exploitation des systèmes de production, 6 quai Watier, Chatou Cedex, France
Note: [] Corresponding author. Piero Baraldi, Energy Department, Politecnico di Milano, Via Ponzio 34/3, 20133 Milan, Italy. Tel.: +39 0223996355; Fax: +39 0223996309; E-mail: [email protected]
Abstract: We consider a real industrial case concerning 148 shut-down multidimensional transients of a nuclear power plant (NPP) turbine. The objective is to identify groups of transients with similar functional behaviors, and distinguish transients with peculiar behaviors which can be representative of anomalous conditions in the turbine. This objective is pursued by analyzing 7 vibration signals referred to the turbine shaft. The novelty of the work consists in transforming the signals into the “turbine speed-domain” for aligning them according to the turbine speed, so as to easily recognize outlier transients and then performing a fuzzy similarity analysis based on pointwise differences. Spectral analysis and Fuzzy C-Means (FMC) clustering are applied to identify the turbine anomalous conditions.
