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  • 1.
    Ahmadzadeh, Farzaneh
    et al.
    Mälardalens högskola, Akademin för innovation, design och teknik, Innovation och produktrealisering. Luleå University of Technology, Luleå, Sweden.
    Lundberg, Jan
    Luleå University of Technology, Luleå, Sweden.
    Remaining useful life estimation: Review2014Inngår i: International Journal of Systems Assurance Engineering and Management, ISSN 0975-6809, E-ISSN 0976-4348, Vol. 5, nr 4, s. 461-474Artikkel, omtale (Annet vitenskapelig)
    Abstract [en]

    This paper reviews the recent modelling developments in estimating the remaining useful life (RUL) of industrial systems. The RUL estimation models are categorized into experimental, data driven, physics based and hybrid approaches. The paper reviews some typical approaches and discusses their advantages and disadvantages. According to the literature, the selection of the best model depends on the level of accuracy and availability of data. In cases of quick estimations which are less accurate, the data driven method is preferred, while the physics based approach is applied when the accuracy of estimation is important.

  • 2.
    Olsson, Ella
    et al.
    Saab AB Aerosystems, Sweden.
    Funk, Peter
    Mälardalens högskola, Akademin för innovation, design och teknik.
    Andersson, Alf
    Volvo Car Corporation Manufacturing Engineering, Sweden.
    Case-based reasoning applied to geometric measurements for decision support in manufacturing2013Inngår i: International Journal of Systems Assurance Engineering and Management, ISSN 0975-6809, E-ISSN 0976-4348, Vol. 4, nr 3, s. 223-230Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Measurements from products are continuously collected to allow adjustments in the production line to certify a feasible product quality. Case-based reasoning is a promising methodology for this type of quality assurance. It allows product measurements and its related adjustments to the production line to be stored as cases in a case-based reasoning system. The idea is to describe an event of adjustments based on deviations in geometric measurement points on a product and connect these measurements to their correlated adjustments done to the production line. Experience will implicitly be stored in each case in the form of uniquely weighted measurement points according to their positive influence on adjustments. Methods have been developed in order to find these positive correlations between measurements and adjustments by analysing a set of historical product measurement and their following adjustments. Each case saved in the case base will be “quality assured” according to this methods and only cases containing strong positive correlations will be used by the system. The correlations will be used to supply each case with its own set individual weights.

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