Design, modelling, simulation and integration of cyber physical systems: Methods and applications

Achiche, 2003, Tool wear monitoring using genetically-generated fuzzy knowledge bases, Eng. Appl. Artif. Intell., 15, 303, 10.1016/S0952-1976(02)00071-4 Achiche, 2006, Online prediction of pulp brightness using fuzzy logic models, Eng. Appl. Artif. Intell., 20, 25, 10.1016/j.engappai.2006.04.002 Acatech, Discussion Paper, ProCPS—Production CPS. http://www.acatech.de/de/publikationen/materialienbaende/uebersicht/detail/artikel/forschungsfragen-in-produktionsautomatisierung-der-zukunft.html, 2012. Achiche, 2010, Fuzzy decision support in the early phases of the fuzzy front end of innovation in product development Achiche, 2016, Design of multidisciplinary cyber physical systems, J. Integr. Des. Process Sci., 19, 1, 10.3233/jid-2015-0015 Al Faruque, 2014, A model-based design of cyber physical energy systems Anderl, 2013, Smart engineering for smart products Achiche, 2016, Adaptive neuro-fuzzy inference system models for force prediction of a mechatronic flexible structure, J. Integr. Des. Process Sci., 19, 77, 10.3233/jid-2015-0017 Bonfè, 2012, Design patterns for model-based automation software design and implementation, Control Eng. Pract., 21 Bojanova, 2014, Imagineering an internet of anything, Computer, 47, 2, 10.1109/MC.2014.150 Bricogne, 2016, Design processes of mechatronic systems Belkadi, 2010, Collaboration based on product lifecycles interoperability for extended enterprise, Int. J. Interact. Des. Manuf., 4, 169, 10.1007/s12008-010-0099-z Bricogne, 2014, Concurrent versioning principles for collaboration: towards PLM for hardware and software data management, Int. J. Prod. Lifecycle Manag., 7, 17, 10.1504/IJPLM.2014.065457 Canedo, 2014, Multi-disciplinary integrated design automation tool for automotive cyber physical systems Carr, 2015 Calvo, 2012, Towards an infrastructure model for composing and reconfiguring cyber physical systems, 282 DARPA, http://www.darpa.mil/program/darpa-robotics-challenge, 2016 (accessed 18.02.16). DiOrio, 2013, Control system software design methodology for automotive industry, Proc. of IEEE International Conference on Systems, Man, and Cybernetics (SMC) Do, 2011, A product data management architecture for integrating hardware and software development, Comput. Ind., 62, 854, 10.1016/j.compind.2011.09.001 Eynard, 2004, UML based specifications of PDM product structure and workflow, Comput. Ind., 55, 301, 10.1016/j.compind.2004.08.006 El Kadiri, 2015, Current trends on ICT technologies for enterprise information systems, Comput. Ind. Etienne, 2011, Specifications and development of interoperability solution dedicated to multiple expertise collaboration in a design framework, Int. J. Prod. Lifecycle Manag., 5, 272, 10.1504/IJPLM.2011.043181 Evans, 2011 Farnsworth, 2014, Capturing, classification and concept generation for automated maintenance tasks, CIRP Ann. Manuf. Technol., 63, 149, 10.1016/j.cirp.2014.03.093 Farnsworth, 2015, Autonomous maintenance for through-life engineering, 395 Feng, 2014, Model transformation for cyber physical systems Feldmann, 2015, A comparison of inconsistency management approaches using a mechatronic manufacturing system design case study, 158 Folmer, 2012, Computing dependent industrial alarms for alarm flood reduction, Proc. of International Multi-Conference on Systems, Signals & Devices, 1 Folmer, 2013, Computing dependent industrial alarms for alarm flood reduction, Transactions on Systems Signals and Devices Frank, 2011, Real-time capable software agents on IEC 61131 systems—developing a tool supported method, Proc. of World Congress of the International Federation of Automation Control (IFAC), 9164 Fritzson, 2011, Modelica—a cyber physical modeling language and the OpenModelica environment Grimm, 2014, Conceptual approach for multi-disciplinary cyber physical systems design and engineering Gronau, 2007 Goldberg, 1989 Henriksson, 2011, Cyber physical systems modeling and simulation with modelica Hehenberger, 2012 Heidtmann, 2009, Virtual sensors for diagnosis and prognosis purposes in the context of elastic mechanical structures, Sens. J. IEEE, 9, 1577, 10.1109/JSEN.2009.2028767 Harashima, 1996, Mechatronics—what is it why, and how?, IEEE/ASME Trans. Mechatron., 1, 10.1109/TMECH.1996.7827930 INCOSE, 2010 https://en.m.wikipedia.org/wiki/Industry_4.0 (accessed 27.01.16). ISO/IEC/IEEE42010, http://www.iso-architecture.org/42010/. Johansen, 2013, Control allocation—a survey, Automatica, 49, 1087, 10.1016/j.automatica.2013.01.035 Kołowrocki, 2014 Kääriäinen, 2009, Applying application lifecycle management for the development of complex systems: experiences from the automation industry, 42, 149 Kayyali, 2013, 1 Komoto, 2012, A framework for computer-aided conceptual design and its application to system architecting of mechatronics products, Comput.-Aided Des., 44, 931, 10.1016/j.cad.2012.02.004 Kernschmidt, 2013, Concept for an integration-framework to enable the crossdisciplinary development of product-service systems Lefèvre, 2014, Multidisciplinary modelling and simulation for mechatronic design, J. Des. Res., 12, 127 Lee, 2008, Cyber physical systems: design challenges, Proc 11th IEEE Symposium on Object Oriented Real-Time Distributed Computing (ISORC) Leardi, 1998, Genetic algorithms applied to feature selection in pls regression: how and when to use them, Chemom. Intell. Lab. Syst., 195, 10.1016/S0169-7439(98)00051-3 Leitão, 2012, Modelling and validating the multi-agent system behaviour for a washing machine production line, Proc. of IEEE Symposium on Industrial Electronics (ISIE) E. Lee, S. Seshia, Introduction to embedded systems: a Cyber Physical systems approach, Lee & Seshia, USA, 2011. Leveson, 2012 Leitão, 2013, Past present, and future of industrial agent applications, IEEE Trans. Ind. Inf., 9, 2360, 10.1109/TII.2012.2222034 Lin, 2010, Modeling cyber physical systems with semantic agents Legat, 2014, Automatic generation of field control strategies for supporting (re-)engineering of manufacturing systems, J. Intell. Manuf., 25, 1101, 10.1007/s10845-013-0744-z Lepuschitz, 2011, Toward self-reconfiguration of manufacturing systems using automation agents, IEEE Trans. Syst. Man Cybern. C, 41, 52, 10.1109/TSMCC.2010.2059012 Macmillan, 1956 in: V. Marik, P., Vrba, P. Leitão (Eds.), 5th International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS, Vol. 6867 of Lecture Notes in Artificial Intelligence, Toulouse, France, 2011. Nazari, 2015, A Modelica-based modeling and simulation framework for large-scale Cyber Physical Systems of Systems, IFAC-Pap. Online, 48, 920, 10.1016/j.ifacol.2015.05.190 Object Management Group, 2009 Petnga, 2013, Ontologies of time and time-based reasoning for MBSE of cyber physical systems Pourtalebi, 2016, Towards a methodology of system manifestation features-based pre-embodiment design, J. Eng. Des., 10.1080/09544828.2016.1141183 Popescu, 2011, A Petri net-based approach to incremental modelling of flow and resources in service-oriented manufacturing systems, Int. J. Prod. Res., 50, 325, 10.1080/00207543.2011.561371 Raveendranathan, 2012, From modeling to implementation of virtual sensors in body sensor networks, IEEE Sens. J., 12, 583, 10.1109/JSEN.2011.2121059 Rachuri, 2008, Information sharing and exchange in the context of product lifecycle management: role of standards, Comput.-Aided Des., 40, 789, 10.1016/j.cad.2007.06.012 da Silva, 2009, Integrated structure and control design for mechatronic systems with configuration-dependent dynamics, Mechatronics, 19, 1016, 10.1016/j.mechatronics.2009.06.006 Schlechtingen, 2010, Comparative analysis of neural network and regression based condition monitoring approaches for wind turbine fault detection G. Şenaltun, C. Cangelir, Software Management in Product Structure, In: Product Lifecycle Management Toward Knowledge-Rich Enterprise, 388, (2012) 369–378. Shen, 2006, Applications of agent-based systems in intelligent manufacturing: an updated review, Adv. Eng. Inf., 20, 415, 10.1016/j.aei.2006.05.004 Subrahmanian, 2005, Product lifecycle management support: a challenge in supporting product design and manufacturing in a networked economy, Int. J. Prod. Lifecycle Manag., 1, 4, 10.1504/IJPLM.2005.007342 Schlechtingen, 2013, Wind turbine condition monitoring based on SCADA data using normal behavior models: part 1: System description, Appl. Soft Comput., 13, 259, 10.1016/j.asoc.2012.08.033 Schlechtingen, 2013, Using data-mining approaches for wind turbine power curve monitoring: a comparative study, IEEE Trans. Sustainable Energy, 4, 671, 10.1109/TSTE.2013.2241797 M. Süttmann, Master Thesis: Condition Monitoring in Wind Turbines—A Drive Train Monitoring System, 2010. Schütz, 2013, Development of PLC-based software for increasing the dependability of production automation systems, IEEE Trans. Ind. Inf., 9, 2397, 10.1109/TII.2012.2229285 Terzi, 2010, Product lifecycle management −from its history to its new role, Int. J. Prod. Lifecycle Manag., 4, 360, 10.1504/IJPLM.2010.036489 Tabbache, 2013, Virtual-Sensor-Based maximum-Likelihood voting approach for fault-Tolerant control of electric vehicle powertrains, IEEE Trans. Veh. Technol., 62, 1075, 10.1109/TVT.2012.2230200 Thramboulidis, 2013, IEC 61499 as an enabler of distributed and intelligent automation: a state-of-the-Art Review—A different view, J. Eng., 9 Takata, 2004, Maintenance: changing role in life cycle management, CIRP Ann. Manuf. Technol., 53, 643, 10.1016/S0007-8506(07)60033-X Theiss, 2009, Software agents in industry: a customized framework in theory and praxis, IEEE Trans. Ind. Inf., 5, 147, 10.1109/TII.2009.2017739 Ulewicz, 2014, Integration of distributed hybrid multi-Agent systems into an industrial IT environment VDI/VDE, VDI/VDE: guideline 2653–multi agent systems in industrial automation—part 1: Fundamentals. 2010. Venter, 2012, An architecture description language for modelling dynamic cyber-physcal architecture: a case study Vogel-Heuser, 2015 Vogel-Heuser, 2014, Model-Driven engineering of manufacturing automation software projects—a sysML-based approach, Mechatronics, 24, 883, 10.1016/j.mechatronics.2014.05.003 Vogel-Heuser, 2015, Agents enabling cyber physical production systems, Automatisierungstechnik (at), 63, 777, 10.1515/auto-2014-1153 Vogel-Heuser, 2015, Cyber physical production systems/industry 4.0—challenges in research and industrial application Vogel-Heuser, 2016, Guest editorial industry 4. 0—prerequisites and visions, IEEE Trans. Autom. Sci. Eng., 13, 411, 10.1109/TASE.2016.2523639 Vyatkin, 2011, IEC 61499 as enabler of distributed and intelligent automation: state-of-the-art review, IEEE Trans. Ind. Inf., 7, 768, 10.1109/TII.2011.2166785 Wagner, 2003, An agent-oriented approach to industrial automation systems, 314 Wang, 2002, Collaborative conceptual design state of the art and future trends, Comput.-Aided Des., 34, 981, 10.1016/S0010-4485(01)00157-9 Wannagat, 2008, Increasing flexibility and availability of manufacturing systems—Dynamic reconfiguration of automation software at runtime on sensor faults, 278 Weiss, 1999 Witsch, 2011, PLC-statecharts: an approach to integrate UML-statecharts in open-loop control engineering −Aspects on behavioral semantics and model-checking, Proc of 18th IFAC World Congress (IFAC), 7866 Wächter, 2011, Power performance of wind energy converters characterized as stochastic process: applications of the Langevin power curve, Wind Energy, 14, 711, 10.1002/we.453 World Economic Forum, Industrial Internet of Things: Unleashing the Potential of Connected Products & Services, www3.weforum.org/docs/WEFUSA_IndustrialInternet_Report2015.pdf, 2015. Zheng, 2014, Survey on mechatronic engineering: a focus on design methods and product models, Adv. Eng. Inf., 28, 241, 10.1016/j.aei.2014.05.003 Zheng, 2016, Multidisciplinary integration during the conceptual design process: a survey on design methods of Cyber Physical systems