Concise convolutional neural network model for fault detection | Zendy

Muhammad Firdausi | Zendy; Shafiq Ahmad | Zendy

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Concise convolutional neural network model for fault detection

Author(s) -

Muhammad 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

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