TY  - JOUR 
AU  - Ramírez Sanz, José Miguel
AU  - Maestro-Prieto, Jose A.
AU  - Arnaiz González, Álvar
AU  - Bustillo Iglesias, Andrés
PY  - 2023
SN  - 0019-0578
UR  - http://hdl.handle.net/10259/9282
AB  - The automation of Fault Detection and Diagnosis (FDD) is a central task for many industries today. A myriad of methods are in use, although the most recent leading contenders are data-driven approaches and especially Machine Learning (ML) methods. ML...
LA  - eng
PB  - Elsevier
KW  - Industrial fault detection and diagnosis
KW  - Machine learning
KW  - Semi-supervised learning
KW  - Systemic review
KW  - Vibrations
KW  - Informática
KW  - Computer science
KW  - Bioinformática
KW  - Bioinformatics
TI  - Semi-supervised learning for industrial fault detection and diagnosis: A systemic review
DO  - 10.1016/j.isatra.2023.09.027
T2  - ISA Transactions
VL  - 143
M2  - 255
ER  -