2020
DOI: 10.1016/j.procir.2020.02.162
|View full text |Cite
|
Sign up to set email alerts
|

Petri net controlled virtual commissioning – A virtual design-loop approach

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
3
2
1

Relationship

1
5

Authors

Journals

citations
Cited by 6 publications
(3 citation statements)
references
References 0 publications
0
3
0
Order By: Relevance
“…Refinement Action Engine). To optimize and validate the model, the standardized control system can be coupled to a simulation environment (see [13] for more details). This enables a fast adaptation and validation of the system behavior before the mechanical setup.…”
Section: Previous Workmentioning
confidence: 99%
“…Refinement Action Engine). To optimize and validate the model, the standardized control system can be coupled to a simulation environment (see [13] for more details). This enables a fast adaptation and validation of the system behavior before the mechanical setup.…”
Section: Previous Workmentioning
confidence: 99%
“…Despite the increase in popularity of VC nowadays, the rise of the industry 4.0 revolution and cyber-physical production systems led to the decentralization of many functions to the field level and intelligent plant components, unveiling an additional challenge of validation and testing (Glock et al, 2018). The growing adoption of VC for the verification and validation (V&V) of these systems types highlights the need for frameworks to increase efficiency and reduce the elaboration time of V&V methodologies (Illmer et al, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…To summarize all the work realized in this area, we extended Illmer et al (2020) classification criteria of CPPS virtual commissioning literature by distinguishing agent-based CPPS types validations (see Table 1) and highlighting the provided VC frameworks. Either high-level control or low-level control is included in the framework.…”
Section: Introductionmentioning
confidence: 99%