Modular process plants are a promising approach to accelerate the engineering of greenfield
process plants. This is achieved by the combination of pre‐engineered process equipment …

In complex production systems, the diagnosis and correction of faults requires operators to
possess a deep understanding of the specific processes and machines as well as general …

In traditional production plants, current technologies do not provide sufficient context to
support information integration and interpretation. Digital transformation technologies have the …

In the process industry, ongoing digitization is leading to a considerable information exchange
over the entire life cycle of a process plant. Data models are usually created in the initial …

During the life cycle of an industrial processing plant, a variety of domain specific data models
are generated. All these models will be changed independently by a group of engineers …

… Rahm set up the and trained the neural network. Hans-Dieter … Rahm and Ashwin Balakrishnan
performed data analysis and … Rahm and Ashwin Balakrishnan contributed equally to this …

Modular plants provide the opportunity to increase flexibility and reduce time-to-market in
the process industry. Process validation is time-consuming and limits the realization of this …

This thesis consists of the study of the geometry of a certain class of arithmetic groups, by
means of a proper action on a contractible space. We will explicitly compute their group …

The fast semantics project examines the use of the OPC Unified Architecture (OPC UA) in
embedded industrial systems and proposes the design of a customizable, hard real time …

During the planning phases of a chemical plant, a great number of domain-specific data
models are created, all of which influence one another. Marking these models consistent with …