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Advanced Condition Monitoring Systems for Railways, IEE Colloquium on

Date 4 Oct 1995

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Displaying Results 1 - 5 of 5
  • Condition monitoring on Manchester's Metrolink

    Publication Year: 1995, Page(s):5/1 - 5/6
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (416 KB)

    This presentation focuses on experience with diagnostic and condition monitoring facilities on the Manchester Metrolink System concentrating on the signalling system on the railway. The major signalling system elements are briefly outlined. The authors then discuss the integrated fault-finding and diagnostic features of the processor based elements. The fault reporting aspects of the system are di... View full abstract»

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  • Vehicle systems monitoring technology at BR research

    Publication Year: 1995, Page(s):3/1 - 3/6
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (868 KB)

    BR Research has been involved with developing advanced railway systems monitoring technology for over 20 years. A wide variety of systems have been produced to assist with cost reduction and performance improvement of trains in service. Of particular importance are systems to improve reliability by predicting failure, systems that monitor the number of passengers travelling and a track mounted sys... View full abstract»

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  • 3-vehicle health monitoring on the Docklands Light Railway

    Publication Year: 1995, Page(s):4/1 - 4/6
    Cited by:  Patents (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (320 KB)

    Docklands Light Railway (DLR) was conceived as a low capacity, but highly automated railway, that would improve transport to the Isle of Dogs redevelopment area in London, UK. Single-car trains, with maximum capacity of approximately 200 passengers and 10-minute schedule intervals, were considered adequate for the redevelopment vision of boutique industry and low density housing with most building... View full abstract»

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  • Neural morphing and intrinsic health monitoring system for preemptive maintenance

    Publication Year: 1995, Page(s):1/1 - 110
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (380 KB)

    The mission in support of quality industrial processes and in fielding efficient industrial systems is to design and maintain those systems in the most cost effective way. Here, the author focuses on the next generation of technology related tools which will be used to improve the reliability and maintainability of future electric railway systems View full abstract»

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  • On-line condition monitoring of railway equipment using neural networks

    Publication Year: 1995, Page(s):2/1 - 2/9
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (612 KB)

    The work reported here is concerned with presenting the results of the condition monitoring research work carried out at the University of Birmingham, UK. The paper begins with outlining the motivation for the research in terms of improved reliability of equipment and quality of service to metro passengers as well as the need for cost-effective and efficient maintenance management. An overview of ... View full abstract»

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