TY  - JOUR
PY  - 2013//
TI  - Improving the dependability of DC point machines with a novel condition monitoring system
JO  - Proceedings of the Institution of Mechanical Engineers, Part F: Journal of rail and rapid transit
A1  - Asada, Tomotsugu
A1  - Roberts, Clive
SP  - 322
EP  - 332
VL  - 227
IS  - 4
N2  - This paper develops a new approach for fault detection and diagnosis for electric DC point machines operated on the railways in the UK. It is shown that the electric current is an appropriate parameter to acquire and analyse for DC point machine condition monitoring. The new methodology for fault detection and diagnosis proposed in this paper utilises wavelet transforms and support vector machines. It is shown that this method can detect and diagnose faults to a high degree of accuracy and can provide an indication of the severity of the faults.<p />  <p>Language: en</p>
LA  - en
SN  - 0954-4097
UR  - http://dx.doi.org/10.1177/0954409713481748
ID  - ref1
ER  -