sensors-data-processminer-rare-event-mts.xlsx

This dataset originates from a real-world pulp-and-paper manufacturing process, characterized by rare paper break events. The manufacturing process involves a multivariate time series generated by a network of 61 sensors strategically placed along the length and breadth of the machinery. These sensors record variables related to raw materials, such as pulp quantity, fiber quality, and chemical concentrations, as well as process parameters, including blade type, couch vacuum, and rotor speed, at regular time intervals.