Anomaly detection in rotating machinery using autoencoders based on bidirectional LSTM and GRU neural networks
Author(s) -
KRISHNA PATRA,
RABI NARAYAN SETHI,
DHIREN KKUMAR BEHERA
Publication year - 2022
Publication title -
turkish journal of electrical engineering and computer sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.225
H-Index - 30
eISSN - 1303-6203
pISSN - 1300-0632
DOI - 10.55730/1300-0632.3870
Subject(s) - anomaly detection , autoencoder , anomaly (physics) , subsequence , computer science , artificial intelligence , pattern recognition (psychology) , artificial neural network , series (stratigraphy) , set (abstract data type) , recurrent neural network , time series , machine learning , mathematics , geology , mathematical analysis , paleontology , physics , bounded function , condensed matter physics , programming language
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