Object-oriented engineering data exchange as a base for automatic generation of simulation models

Barth, Mike; Strube, Martin; Fay, Alexander; Weber, Peter K.; Greifeneder, Jürgen

doi:10.1109/iecon.2009.5415229

Cited by 23 publications

(16 citation statements)

References 10 publications

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“…This modeling allows a more detailed analysis and optimization of the structure of relations [1 1]. More recent work also takes software and electronics in addition to the mechanical components into account [12,13,14,15,16].…”

Section: State-of-the-artmentioning

confidence: 99%

Engineering of automated manufacturing systems with mechatronic objects

Weyrich

Klein

2012

IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society

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Engineering of automated manufacturing systems req uires a lot of effort and therefore creates a bottleneck. In this paper we present a methodology of designing the concept of systems based on mechatronic objects. The methodology proposed enables the identification of objects, which take mechatronic aspects into consideration. This means we are able to create a holistic concept design of the mechanics, electrics and electronics and software. The approach of identifying mechatronic objects is novel because the overall blueprint of the system can be optimized across the various disciplines. The methodology is demonstrated based on an example of special machinery systems, whereby the functional evaluation of the concept is discussed throughout the detail-engineering phase.

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Section: State-of-the-artmentioning

confidence: 99%

Engineering of automated manufacturing systems with mechatronic objects

Weyrich

Klein

2012

IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society

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“…by using OCR technology (Arroyo et al 2016). In (Barth et al 2009) the authors present an approach to create object-oriented simulation models out of the derived data.…”

Section: Automatic Derivation Of the Mbd Knowledgementioning

confidence: 99%

Model-Based Diagnosis of Hybrid Systems Using Satisfiability Modulo Theory

Diedrich

Maier

Niggemann³

2019

AAAI

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Currently, detecting and isolating faults in hybrid systems is often done manually with the help of human operators. In this paper we present a novel model-based diagnosis approach for automatically diagnosing hybrid systems. The approach has two parts: First, modelling dynamic system behaviour is done through well-known state space models using differential equations. Second, from the state space models we calculate Boolean residuals through an observer-pattern. The novelty lies in implementing the observer pattern through the use of a symbolic system description specified in satisfiability theory modulo linear arithmetic. With this, we create a static situation for the diagnosis algorithm and decouple modelling and diagnosis. Evaluating the system description generates one Boolean residual for each component. These residuals constitute the fault symptoms. To find the minimum cardinality diagnosis from these symptoms we employ Reiter's diagnosis lattice. For the experimental evaluation we use a simulation of the Tennessee Eastman process and a simulation of a four-tank model. We show that the presented approach is able to identify all injected faults.

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“…for P&IDs. CAEX has been used for generating simulation models (Hoernicke et al, 2015;Barth et al, 2009) and is also utilised by AutomationML. (Holm et al, 2012) The format has not been adopted by the industry as widely as ISO 15926 and it lacks an established industrial reference data library similar to the one available for ISO 15926.…”

Section: Related Workmentioning

confidence: 99%

Automatic Generation of Dynamic Simulation Models Based on Standard Engineering Data

Paganus¹,

Honkoila

Luukkainen

et al. 2018

Linköping Electronic Conference Proceedings

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Dynamic process simulation is used to mitigate risks, reduce costs and improve quality of design in plant engineering. Traditionally, simulation models are created manually from engineering source data. Benefits of utilising simulation are recognised by the industry, but simulation is not exploited to its full potential due to its current laborious nature. Engineering software interoperability improves efficiency in engineering workflows. Required manual work is reduced, enabling faster and more robust design to be conducted. In this paper, work conducted by authors in integrating the dynamic process simulation software Apros into the engineering workflow by automatically creating simulation models based on standard engineering data is reported. A case study was conducted to demonstrate the implemented features. Process engineering data in the Proteus XML format was used as the source data for simulation model generation. The case study shows that the implemented features reduce manual work required, lowering the threshold for utilising simulation.

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Object-oriented engineering data exchange as a base for automatic generation of simulation models

Cited by 23 publications

References 10 publications

Engineering of automated manufacturing systems with mechatronic objects

Engineering of automated manufacturing systems with mechatronic objects

Model-Based Diagnosis of Hybrid Systems Using Satisfiability Modulo Theory

Automatic Generation of Dynamic Simulation Models Based on Standard Engineering Data

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