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The classical approach for this kind of problem involves usually the adoption of time series models in conjunction with signal process techniques which enable us to extract value from high-frequency data.
Reference
Predictive Maintenance: detect Faults from Sensors with CRNN and Spectrograms
Apply Deep Learning and Spectrogram transformations to prevent Failures
towardsdatascience.com
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