• DocumentCode
    1286441
  • Title

    Condition Monitoring of Metallized Polypropylene Film Capacitors in Railway Power Trains

  • Author

    Buiatti, Gustavo Malagoni ; Martin-Ramos, Juan A. ; Amaral, Acácio M R ; Dworakowski, Piotr ; Cardoso, Antonio J Marques

  • Author_Institution
    Alstom Transp., Semeac, France
  • Volume
    58
  • Issue
    10
  • fYear
    2009
  • Firstpage
    3796
  • Lastpage
    3805
  • Abstract
    A novel technique for monitoring the condition of metallized polypropylene film (MPPF) capacitors installed in the dc link of railway power trains is proposed in this paper. The technique is based on the capacitance estimation of the two different capacitors used in the dc link (dc filtering and 2F filter capacitors), and it is done without adding any extra sensor or filter to the respective traction drive scheme. Therefore, the proposed method is implemented using software but not additional hardware for the different trains. Two other important passive component parameters of the traction drive are also monitored, all of them by means of curve fitting based on the least-mean-square (LMS) algorithm. The proposed technique is implemented and validated at simulation and experimental levels, using MATLAB/Simulink and a 1.2-MW traction drive test bench. Very accurate results are obtained, and the predictive maintenance of MPPF capacitors for different topologies of railway power trains can be set through the proposed technique.
  • Keywords
    capacitors; condition monitoring; curve fitting; least mean squares methods; maintenance engineering; polymer films; railway engineering; traction motor drives; MATLAB/Simulink; capacitance estimation; condition monitoring; curve fitting; dc link; least-mean-square algorithm; metallized polypropylene film capacitors; passive component; power 1.2 MW; predictive maintenance; railway power trains; traction drive scheme; Capacitance measurement; condition monitoring; diagnostics; parameter estimation; polypropylene film capacitors; predictive maintenance; railway power trains;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2009.2019719
  • Filename
    5191038