Open AccessConcise convolutional neural network model for fault detection
Author(s) -
Muhammad Al Firdausi,
Shafiq Ahmad
Publication year - 2022
Publication title -
communications in science and technology
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 5
eISSN - 2502-9266
pISSN - 2502-9258
DOI - 10.21924/cst.7.1.2022.746
Subject(s) - computer science , convolutional neural network , fault detection and isolation , feature engineering , scheduling (production processes) , fault (geology) , artificial intelligence , deep learning , production line , artificial neural network , machine learning , bearing (navigation) , reliability (semiconductor) , predictive maintenance , real time computing , reliability engineering , engineering , power (physics) , actuator , mechanical engineering , operations management , physics , quantum mechanics , seismology , geology