An Imbalance Modified Deep Neural Network With Dynamical Incremental Learning for Chemical Fault Diagnosis

In this paper, a data-driven fault diagnosis model dealing with chemical imbalanced data streams is investigated. Different faults occur with varied frequencies by continuous arrival in chemical plants, while this issue has been hardly addressed in developing a diagnosis model. A novel incremental i...

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