Abstract
Cyber-physical production systems are composed of
a multitude of subsystems from diverse vendors and integrators,
connected in a distributed fashion. An undesirable phenomenon
in one system might cause a misbehavior in another connected
system. Searching for the root cause of this misbehavior quickly
becomes very tedious as many possible search directions exist.
This paper proposes an approach and algorithm to tie together
information available in design-time and runtime models. This
then allows, in conjunction with observed and desired status of
a system, to recommend search options and concrete solution
steps to guide workers along the fixing process without being
overwhelmed by the complexity of the overall system of systems.
We demonstrate the feasibility of our approach using a lab-scal
production cell model.
Index Terms—Automation systems; information models;
worker assistance; debugging; root cause analysis; cyber physical
systems
Original language | English |
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Pages (from-to) | 1-8 |
Number of pages | 8 |
Journal | IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) |
DOIs | |
Publication status | Published - Sept 2021 |
Fields of science
- 102 Computer Sciences
- 102022 Software development
JKU Focus areas
- Digital Transformation