86 citations · 89 across the 4 of their papers we have counts for
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stat.ML2020★ 86 cited
Data-Driven Fault Diagnosis Analysis and Open-Set Classification of Time-Series Data
Andreas Lundgren, Daniel Jung
Fault diagnosis of dynamic systems is done by detecting changes in time-series data, for example residuals, caused by system degradation and faulty components. The use of general-p…
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…