
A FAULT DIAGNOSIS PROPOSAL WITH ONLINE IMPUTATION TO INCOMPLETE OBSERVATIONS IN INDUSTRIAL PLANTS
Author(s) -
Orestes LlanesSantiago,
B.C. Rivero-Benedico,
S.C. Gálvez-Viera,
E.F. Rodríguez-Morant,
Raquelita Torres Cabeza,
Antônio José da Silva Neto
Publication year - 2018
Publication title -
revista mexicana de ingeniería química
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.288
H-Index - 18
eISSN - 2395-8472
pISSN - 1665-2738
DOI - 10.24275/uam/izt/dcbi/revmexingquim/2019v18n1/llanes
Subject(s) - imputation (statistics) , missing data , data mining , artificial neural network , singular value decomposition , computer science , perceptron , benchmark (surveying) , regression , artificial intelligence , machine learning , statistics , mathematics , geography , geodesy