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SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes.
Maksim Golyadkin
Vitaliy Pozdnyakov
Leonid Zhukov
Ilya Makarov
Published in:
Artif. Intell. (2023)
Keyphrases
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fault diagnosis
neural network
unsupervised learning
fault detection
electronic equipment
clustering algorithm
expert systems
learning algorithm
gas turbine
rbf neural network
bp neural network
steady state
analog circuits
power transformers
clustering method
multiple faults
fault identification
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