Generating Hidden Markov Models from Process Models Through Nonnegative Tensor Factorization

arXiv:2210.01060v2 Announce Type: replace
Abstract: Monitoring of industrial processes is a critical capability in industry and in government to ensure reliability of production cycles, quick emergency response, and national security. Process monitoring allows users to gauge the progress of an organization in an industrial process or predict the degradation or aging of machine parts in processes taking place at a remote location. Similar to many data science applications, we usually only have access to limited raw data, such as satellite …

abstract arxiv capability cs.lg emergency emergency response factorization government hidden industrial industry markov monitoring national security organization process processes production progress reliability security tensor through type