An Interpretable Fault Detection Approach for Industrial Processes Based on Improved Autoencoder

Deep learning has recently emerged as a promising method for data-driven fault detection in industrial processes, especially autoencoders (AEs), which have achieved great detection performance. However, the AE models are essentially black boxes, which makes it difficult to interpret and trust the de...

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