Discrete-Event Based Monitoring and Diagnosis of Manufacturing Processes

1993 ◽  
Author(s):  
Sujeet Chand
Keyword(s):  
Discrete Event ◽  
Manufacturing Processes ◽  
Monitoring And Diagnosis ◽  
Event Based

scholarly journals Model-Based Virtual Components in Event-Based Controls: Linking the FMI and IEC 61499

2020 ◽  
Vol 10 (5) ◽  
pp. 1611
Author(s):  
Michael H. Spiegel ◽  
Edmund Widl ◽  
Bernhard Heinzl ◽  
Wolfgang Kastner ◽  
Nabil Akroud
Keyword(s):  
Real Time ◽  
Discrete Event ◽  
Simulation Models ◽  
Hybrid Plant ◽  
Seamless Integration ◽  
Quality Of Control ◽  
Automation Systems ◽  
Coupling Algorithm ◽  
Event Based ◽  
Iec 61499

Various development and validation methods for cyber-physical systems such as Controller-Hardware-in-the-Loop (C-HIL) testing strongly benefit from a seamless integration of (hardware) prototypes and simulation models. It has been often demonstrated that linking discrete event-based control systems and hybrid plant models can advance the quality of control implementations. Nevertheless, high manual coupling efforts and sometimes spurious simulation artifacts such as glitches and deviations are observed frequently. This work specifically addresses these two issues by presenting a generic, standard-based infrastructure referred to as virtual component, which enables the efficient coupling of simulation models and automation systems. A novel soft real-time coupling algorithm featuring event-accurate synchronization by extrapolating future model states is outlined. Based on considered standards for model exchange (FMI) and controls (IEC 61499), important properties such as real-time capabilities are derived and experimentally validated. Evaluation demonstrates that virtual components support engineers in efficiently creating C-HIL setups and that the novel algorithm can feature accurate synchronization when conventional approaches fail.

Simulation of Wind Farm Operations and Maintenance

2013 ◽  
Author(s):  
Eduardo Pérez ◽  
Lewis Ntaimo ◽  
Yu Ding
Keyword(s):  
Wind Farm ◽  
Discrete Event ◽  
Maintenance Scheduling ◽  
Simulation Framework ◽  
Structural Element ◽  
Maintenance Strategies ◽  
Random Events ◽  
Operations And Maintenance ◽  
Event Based ◽  
Commercial Size

We develop a discrete event-based simulation framework that mimics the operations of a commercial size wind farm. Each turbine is treated as separate module, so that the simulation can be easily scaled up to more than one hundred turbines for a farm. Each turbine module includes a structural element sub-module, degradation sub-module, power generation sub-module, sensing and maintenance scheduling sub-module. The simulator is specially designed to handle a large number of unorganized random events (turbine failures, waiting for parts, weather disruptions) and reflect in the simulator’s outputs the variation from parameters and operations. We report on implementation results and provide insights into wind farm operations under different maintenance strategies.

Design of a Discrete Event Based Supervisor for Continuous Processes

1998 ◽  
Vol 31 (20) ◽  
pp. 79-84
Author(s):  
Daniela Cristina Cernega ◽  
Antoneta Bratcu
Keyword(s):  
Discrete Event ◽  
Continuous Processes ◽  
Event Based

scholarly journals A methodology for unit testing actors in proprietary discrete event based simulations

2008 ◽  
Author(s):  
Mark E. Coyne ◽  
Scott R. Graham ◽  
Kenneth M. Hopkinson ◽  
Stuart H. Kurkowski
Keyword(s):  
Discrete Event ◽  
Unit Testing ◽  
Event Based

Discrete-event based simulation of airbase logistic provision model

1999 ◽  
Vol 12 (1) ◽  
pp. 72
Author(s):  
Chao-Yang Tung ◽  
Henry Ker- Chang ◽  
Pey-Yun Hsu
Keyword(s):  
Discrete Event ◽  
Event Based

scholarly journals Routing and schedule simulation of a biomass energy supply chain through SimPy simulation package

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
T.M. Pinho ◽  
J.P. Coelho ◽  
P.M. Oliveira ◽  
B. Oliveira ◽  
A. Marques ◽  
...  
Keyword(s):  
Supply Chain ◽  
Closed Loop ◽  
Discrete Event ◽  
Biomass Energy ◽  
Closed Loop System ◽  
Dynamic Interactions ◽  
Forest Fuels ◽  
Event Model ◽  
Event Based

The optimisation of forest fuels supply chain involves several entities actors, and particularities. To successfully manage these supply chains, efficient tools must be devised with the ability to deal with stakeholders dynamic interactions and to optimize the supply chain performance as a whole while being stable and robust, even in the presence of uncertainties. This work proposes a framework to coordinate different planning levels and event-based models to manage the forest-based supply chain. In particular, with the new methodology, the resilience and flexibility of the biomass supply chain is increased through a closed-loop system based on the system forecasts provided by a discrete-event model. The developed event-based predictive model will be described in detail, explaining its link with the remaining elements. The implemented models and their links within the proposed framework are presented in a case study in Finland and results are shown to illustrate the advantage of the proposed architecture.

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