Transients Analysis of a Nuclear Power Plant Component for Fault Diagnosis

被引：5

作者：

Baraldi, Piero ^{[1
]}

Di Maio, Francesco ^{[1
]}

Rigamonti, Marco ^{[1
]}

Zio, Enrico ^{[1
,2
,3
]}

Seraoui, Redouane ^{[4
]}

机构：

[1] Politecn Milan, Dept Energy, Via Ponzio 34-3, I-20133 Milan, Italy

[2] Ecole Cent Paris, Chair Syst Sci & Energet Challenge, Paris, France

[3] Supelec, Chair Syst Sci & Energet Challenge, Paris, France

[4] EDF R&D STEP Simulat & Traitement Informat Exploi, Chatou, France

来源：

2013 PROGNOSTICS AND HEALTH MANAGEMENT CONFERENCE (PHM) | 2013年 / 33卷

关键词：

SENSITIVITY-ANALYSIS; CLASSIFICATION;

D O I：

10.3303/CET1333150

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

We analyze signal data collected during 148 shut-down transients of a nuclear power plant (NPP) turbine for fault diagnosis. The aim is to identify groups of transients with similar characteristics, under the conjecture that faults and malfunctioning of the same type lead to a similar behavior of the measured signal transients. The fault diagnosis method is based on the combined use of an original fuzzy-based slope and similarity analysis with spectral clustering.

引用

页码：895 / 900

页数：6

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