Application of Possibilistic C Means for Fault Detection in Nuclear Power Plant DataSource: Journal of Engineering for Gas Turbines and Power:;2015:;volume( 137 ):;issue: 006::page 62901Author:Perasso, Annalisa
,
Campi, Cristina
,
Toraci, Cristian
,
Benvenuto, Francesco
,
Piana, Michele
,
Massone, Anna Maria
DOI: 10.1115/1.4028809Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: 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 Cmeans (PCM). This approach is applied to time series recorded in a CANDUآ® power plant and is validated by comparison with results provided by a classification method based on principal component analysis (PCA).
|
Show full item record
| contributor author | Perasso, Annalisa | |
| contributor author | Campi, Cristina | |
| contributor author | Toraci, Cristian | |
| contributor author | Benvenuto, Francesco | |
| contributor author | Piana, Michele | |
| contributor author | Massone, Anna Maria | |
| date accessioned | 2017-05-09T01:17:56Z | |
| date available | 2017-05-09T01:17:56Z | |
| date issued | 2015 | |
| identifier issn | 1528-8919 | |
| identifier other | gtp_137_06_062901.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/157975 | |
| description abstract | 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 Cmeans (PCM). This approach is applied to time series recorded in a CANDUآ® power plant and is validated by comparison with results provided by a classification method based on principal component analysis (PCA). | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Application of Possibilistic C Means for Fault Detection in Nuclear Power Plant Data | |
| type | Journal Paper | |
| journal volume | 137 | |
| journal issue | 6 | |
| journal title | Journal of Engineering for Gas Turbines and Power | |
| identifier doi | 10.1115/1.4028809 | |
| journal fristpage | 62901 | |
| journal lastpage | 62901 | |
| identifier eissn | 0742-4795 | |
| tree | Journal of Engineering for Gas Turbines and Power:;2015:;volume( 137 ):;issue: 006 | |
| contenttype | Fulltext |