Improving the performance of radial basis function classifiers in condition monitoring and fault diagnosis applications where 'unknown' faults may occur

Pattern Recognition Letters

Volumn 23, Issue 5, 2002, Pages 569-577

  Li, Yuhua ^a   Pont, Michael J ^a   Barrie Jones, N ^a  

^a UNIVERSITY OF LEICESTER   (United Kingdom)

Author keywords

Candition monitoring; Novelty detection; Radial basis function network; Threshold determination

Indexed keywords

RADIAL BASIS FUNCTION NETWORKS;

CALSSIFIER;

PATTERN RECOGNITION;

IMAGE CLASSIFICATION;

EID: 0036501528     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(01)00133-7     Document Type: Article

References (14)

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10. Diagnosis of multiple simultaneous fault via hierarchical artificial neural networks