Industry 4 [...]

This article proposes a novel sparse principal component analysis algorithm with self-learning ability for multimode process monitoring, where the successive modes are learned in sequential fashion. Different from traditional monitoring methods, small set of data collected when mode arrives. The proposed method remembers knowledge by selectively slowing down changes parameters important previou...

Abstract The growing interest in applying machine and deep learning algorithms an Outcome-Oriented Predictive Process Monitoring (OOPPM) context has recently fuelled a shift to use models from the explainable artificial intelligence (XAI) paradigm, field of study focused on creating explainability techniques top AI order legitimize predictions made. Nonetheless, most classification are evaluate...