HIGHLIGHTS
SUMMARY
Keywords such as "real-time systems", "convolutional neural_network", "predictive maintenance", "cloud computing", and "big data" need to be further analyzed to explore more potential research directions of RTFD. RTFD Methods According to the different fault diagnosis bases such as equipment signals, process variables, and semantic data, and the need for independent extraction of figurative feature 8 of 23 information, this work classifies current RTFD methods into three categories: methods based on independent feature extraction, methods based on "end-to-end" neural_networks, and methods based on qualitative knowledge reasoning. The new principal features from the . . .
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