TY  - JOUR
AU  - Diez-Olivan, Alberto
AU  - Pagan, Jose A.
AU  - Khoa, Nguyen Lu Dang
AU  - Sanz, Ricardo
AU  - Sierra, Basilio
PY  - 2018
DO  - 10.1007/s00170-017-1204-2
SN  - 0268-3768
UR  - https://hdl.handle.net/11556/3605
AB  - This paper presents a novel algorithm to assess the health status in monitoring sensor data using a kernel-based support vector machine (SVM) approach. Today, accurate fault prediction is a key issue raised by maintenance. In particular, automatically...
LA  - eng
TI  - Kernel-based support vector machines for automated health status assessment in monitoring sensor data
TY  - journal article
ER  -