
A novel fault diagnosis model named three-layer deep learning network random trees (TDLN-trees) that integrates the strengths of deep learning and machine learning techniques to effectively detect and classify faults in complex chemical production processes.


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integrating-deep-learning-and-machine-learning-for-robust-fault-diagnosis-in-chemical-production-processes


Integrating Deep Learning and Machine Learning for Robust Fault Diagnosis in Chemical Production Processes
