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  • 1. Alzghoul, Ahmad
    et al.
    Backe, Björn
    Luleå University of Technology, Department of Engineering Sciences and Mathematics, Product and Production Development.
    Löfstrand, Magnus
    Uppsala universitet.
    Byström, Arne
    Uppsala University, Department of Information Technology, Division of Computing Science.
    Liljedahl, Bengt
    Bosch Rexroth Mellansel AB.
    Comparing a knowledge-based and a data-driven method in querying data streams for system fault detection: A hydraulic drive system application2014In: Computers in industry (Print), ISSN 0166-3615, E-ISSN 1872-6194, Vol. 65, no 8, p. 1126-1135Article in journal (Refereed)
    Abstract [en]

    The field of fault detection and diagnosis has been the subject of considerable interest in industry. Fault detection may increase the availability of products, thereby improving their quality. Fault detection and diagnosis methods can be classified in three categories: data-driven, analytically based, and knowledge-based methods. In this work, we investigated the ability and the performance of applying two fault detection methods to query data streams produced from hydraulic drive systems. A knowledge-based method was compared to a data-driven method. A fault detection system based on a data stream management system (DSMS) was developed in order to test and compare the two methods using data from real hydraulic drive systems. The knowledge-based method was based on causal models (fault trees), and principal component analysis (PCA) was used to build the data-driven model. The performance of the methods in terms of accuracy and speed, was examined using normal and physically simulated fault data. The results show that both methods generate queries fast enough to query the data streams online, with a similar level of fault detection accuracy. The industrial applications of both methods include monitoring of individual industrial mechanical systems as well as fleets of such systems. One can conclude that both methods may be used to increase industrial system availability

  • 2.
    Bertoni, Marco
    et al.
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Innovation and Design.
    Bordegoni, Monica
    Politecnico di Milano.
    Cugini, Umberto
    Politecnico di Milano.
    Regazzoni, D.
    Università degli Studi di Bergamo.
    Rizzi, C.
    Università degli Studi di Bergamo.
    PLM paradigm: how to lead BPR within product development field2009In: Computers in industry (Print), ISSN 0166-3615, E-ISSN 1872-6194, Vol. 60, no 7, p. 476-484Article in journal (Refereed)
    Abstract [en]

    The design and implementation of a PLM solution in a cross-company environment is a complex and labour intensive operation, which is often coupled with a Business Process Re-engineering (BPR) project to better deploy technologies as well as methodologies and to target the system implementation on the real company needs. Enterprise Modelling (EM) languages are typically used to collect and share process knowledge among the BPR participants. Plenty of techniques are actually available at this scope and it is not always easy to understand how to select and use them in the different steps of re-engineering. The main purpose of this paper is to perform a qualitative analysis of three well known EM languages (IDEF, UML and ARIS) and to propose a new methodology, based on their integrated use, supporting BPR efforts in the Product Development domain.

  • 3.
    Sandberg, Marcus
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Industrilized and sustainable construction.
    Tyapin, Ilya
    University of Agder.
    Kokkolaras, Michael
    McGill University.
    Lundbladh, Anders
    GKN Aerospace.
    Isaksson, Ola
    Chalmers University of Technology.
    A knowledge-based master model approach exemplified with jet engine structural design2017In: Computers in industry (Print), ISSN 0166-3615, E-ISSN 1872-6194, Vol. 85, p. 31-38Article in journal (Refereed)
    Abstract [en]

    Successful product development requires the consideration of multiple engineering disciplines and the quantification of tradeoffs among conflicting objectives from the very early design phases. The single-largest challenge to do so is the lack of detailed design information. A possible remedy of this issue is knowledge-based engineering. This paper presents a knowledge-based master model approach that enables the management of concurrent design and analysis models within different engineering disciplines in relation to the same governing product definition. The approach is exemplified on an early phase structural design of a turbo-fan jet engine. The model allows geometric-, structural mechanics- and rotor-dynamic- models to be concurrently integrated into a multi-disciplinary design and optimization loop.

  • 4.
    Sierla, Seppo A.
    et al.
    Department of Electrical Engineering and Automation, Aalto University.
    Kyrki, Ville
    Department of Electrical Engineering and Automation, Aalto University.
    Aarnio, Pekka
    Department of Electrical Engineering and Automation, Aalto University.
    Vyatkin, Valeriy
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science. Department of Electrical Engineering and Automation, Aalto University.
    Automatic assembly planning based on digital product descriptions2018In: Computers in industry (Print), ISSN 0166-3615, E-ISSN 1872-6194, Vol. 97, p. 34-46Article in journal (Refereed)
    Abstract [en]

    This paper proposes a new concept in which a digital twin derived from a digital product description will automatically perform assembly planning and orchestrate the production resources in a manufacturing cell. Thus the manufacturing cell has generic services with minimal assumptions about what kind of product will be assembled, while the digital product description is designed collaboratively between the designer at an OEM and automated services at potential manufacturers. This has several advantages. Firstly, the resulting versatile manufacturing facility can handle a broad variety of products with minimal or no reconfiguration effort, so it can cost-effectively offer its services to a large number of OEMs. Secondly, a solution is presented to the problem of performing concurrent product design and assembly planning over the organizational boundary. Thirdly, the product design at the OEM is not constrained to the capabilities of specific manufacturing facilities. The concept is presented in general terms in UML and an implementation is provided in a 3D simulation environment using Automation Markup Language for digital product descriptions. Finally, two case studies are presented and applications in a real industrial context are discussed

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