most citedResidual Generation Using Physically-Based Grey-Box Recurrent Neural Networks For Engine Fault Diagnosis

3 citations · 3 across the 2 of their papers we have counts for

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2 papers

eess.SP2020★ 3 cited

Residual Generation Using Physically-Based Grey-Box Recurrent Neural Networks For Engine Fault Diagnosis

Daniel Jung

Data-driven fault diagnosis is complicated by unknown fault classes and limited training data from different fault realizations. In these situations, conventional multi-class class…

eess.SP2019

Isolation and Localization of Unknown Faults Using Neural Network-Based Residuals

Daniel Jung

Localization of unknown faults in industrial systems is a difficult task for data-driven diagnosis methods. The classification performance of many machine learning methods relies o…