TY  - JOUR 
AU  - Martin Diaz, Ignacio
AU  - Moríñigo Sotelo, Daniel
AU  - Duque Pérez, Óscar
AU  - Romero-Troncoso, Rene J.
AU  - Osornio Ríos, Roque A.
PY  - 2018
SN  - 0019-0578
UR  - https://uvadoc.uva.es/handle/10324/64932
AB  - This paper investigates the current monitoring for effective fault diagnosis in induction motor (IM) by using random forest (RF) algorithms. A rotor bar breakage of IM does not derive in a catastrophic fault but its timely detection can avoid...
LA  - spa
KW  - Induction motor
KW  - Fault diagnosis
KW  - Artificial intelligence
KW  - Simulated annealing algorithm
KW  - Oblique random forests
TI  - Hybrid algorithmic approach oriented to incipient rotor fault diagnosis on induction motors
DO  - 10.1016/j.isatra.2018.07.033
ER  -