In many fields of electrical applications, PQ (Power Quality) is one of the most critical aspects which needs to be controlled and monitored. This is especially true in the field of electrified railways where the use of both new technologies and automation requires a careful control of the PQ disturbances. As far as the railway electrical supply system is concerned, the PQ aspect is an important concern since it affects the functionality of the whole system. In this context a key issue is the identification of a proper quality process able to satisfy the quality requirements of electrified railway supply operation assuring at the same time the economic efficiency. This work aims at offering an innovative methodology based on SPC (Statistical Control Process) tools for correcting and optimising the quality process management in railway traction systems. To reach this aim, the railway traction electrical management process has been considered as a common industrial process characterised by many quality indicators. A method for determining the optimal choice of the design parameters for the multivariate exponentially weighted moving average control chart used for monitoring PQ indicators is proposed. A cost model has been also implemented in order to develop economic evaluations of the control chart parameters providing economic and statistically constrained design procedures. The choice of the parameters has been effected taking into consideration the dependence on the Average Run Length of each PQ indicator in both the in-control and the out-of-control processes.


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    Titel :

    Power quality measurements through multivariate control chart: An application on railway traction systems


    Beteiligte:
    Battistelli, L. (Autor:in) / Falco, S. De (Autor:in) / Proto, D. (Autor:in)


    Erscheinungsdatum :

    2007


    Format / Umfang :

    7 Seiten, 1 Bild, 8 Tabellen, 14 Quellen


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Datenträger


    Sprache :

    Englisch




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