TY - JOUR
T1 - Improving the performance of radial basis function classifiers in condition monitoring and fault diagnosis applications where 'unknown' faults may occur
AU - Li, Yuhua
AU - Pont, Michael J
PY - 2002/3
Y1 - 2002/3
N2 - This paper develops a technique for determining a reliable threshold for RBF classifiers. A two-phase approach is proposed to RBF classifier use in situations where unknown faults may occur: the first phase deals with the possibility of unknown faults; in the second phase, the classifier threshold is modified through retraining using all available data, including newly collected data about unknown faults. The approach is easy to use and is demonstrated to be particularly effective in classification problems where novelty detection capability is required.
AB - This paper develops a technique for determining a reliable threshold for RBF classifiers. A two-phase approach is proposed to RBF classifier use in situations where unknown faults may occur: the first phase deals with the possibility of unknown faults; in the second phase, the classifier threshold is modified through retraining using all available data, including newly collected data about unknown faults. The approach is easy to use and is demonstrated to be particularly effective in classification problems where novelty detection capability is required.
UR - http://www.elsevier.com/wps/find/journaldescription.cws_home/505619/description
U2 - 10.1016/S0167-8655(01)00133-7
DO - 10.1016/S0167-8655(01)00133-7
M3 - Article
SN - 1872-7344
VL - 23
SP - 569
EP - 577
JO - Pattern Recognition Letter
JF - Pattern Recognition Letter
IS - 5
ER -