Hitachi Energy Ltd

Abb Schweiz Ag

Ioannis Lymperopoulos

Benjamin Kloepper

Marcel Dix

Mehmet Mercangoez

Pablo Rodriguez

Jan Poland

Jacim Jacimovic

Moncef Chioua

Adamantios Marinakis

Yaman Cansin Evrenosoglu

Elisabet Capon

Andrea Cortinovis

Dennis Janka

Pawel Dawidowski

Stefano Maranò

Christopher Ganz

Sinisa Zubic

A system and method are described for post-processing a 3D printed component. For example, support structures for the 3D printed component may be removed during post-processing. In the system and method, a first image of a component is stored in memory. A second image of a 3D printed component corresponding to the component is also captured. One or more cutting paths between the 3D printed component and the support structures is then determined based on the first image and the second image. The 3D printed component may then be autonomously separated from the support structures by cutting through the cutting path.

Vision system for identifying support structures of 3D printed components

Machine learning, ML, using labeled data is performed to thereby train a ML model to generate decision logic for a controller of an IACS, in particular a power system controller. The ML model has ML model inputs and ML model outputs. The ML model is decomposed into a plurality of computational sub-processes, wherein intermediate signals output by one of the computational sub-processes are input into a consecutive one of the computational sub-processes. Information on the trained ML model is generated based on the intermediate signals and is output for interpretation, verification, visualization, and/or inspection of at least one of the computational sub-processes.

Method and computer system for generating a decision logic for a controller

Performance of a decision-making logic of a controller of an industrial automation control system is monitored during field operation of the controller. A supervisory system receives operational data collected during field operation of the controller. The supervisory system performs an analysis of the operational data to assess performance of the decision-making logic, using pre-operational data generated prior to field operation of the controller and/or a performance assessment logic generated prior to field operation of the controller. The supervisory system generates an analysis output based on a result of the analysis.

Method and supervisory system for monitoring performance of a decision-making logic of a controller

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Dietikon, Switzerland

Ioannis Lymperopoulos