Xiaomeng Peng, Xiaoning Jin, Shiming Duan, and Chaitanya Sankavaram Data-driven Fault Detection and Diagnostics (FDD) methods often assume that sufficient labeled samples are class-balanced and faulty classes in testing are precedent or seen previously during model training. When monitoring a large fleet of assets at scale, these assumptions may be violated:(I) only a limited number…
Fleet Learning: Active learning-assisted semi-supervised learning for fault detection anddiagnostics with imbalanced dataset
