Simultaneous occurrences of events have been a crucial and hard problem since the
beginning of the research about automaton and simulation theories of discrete event …

Industrial archived process data represent a convenient source of information for data-driven
models, such as artificial neural network (ANN), that can be used for safety and efficiency …

Industrial plant safety involves integrated management of all the factors that may cause
accidents. Process alarm management can be formulated as a pattern recognition problem …

Alarm management systems in the process industry use root-cause analysis methods to
reduce alarm logs. To enable the application of these methods in different plant types, the …

Most industries have recently started to harness the power of data to assess their
performance and improve their production systems for future competitiveness and …

In automated plants, particularly in the petrochemical, energy, and chemical industries, the
combined management of all of the incidents that can produce a catastrophic accident is …

Process alarm management can be approached as a pattern recognition problem in which
temporal patterns are used to characterize different typical situations, particularly at startup …

This article presents an actualization of the formalism V-nets which is a tool of supervision
that deals with diagnosis problems of industrial processes, situations such as simultaneity …

The use of data and obtaining insights from the data through data science approaches is
invading every domain of industrial applications. Today, most of the industries harness the …

Industrial plants, especially on mining, metal processing, energy and chemical/
petrochemical processes require integrated management of all the events that may cause …