Condition Monitoring of Motorised Devices for Smart Infrastructure Capabilities

  • Pritesh MistryEmail author
  • Phil Lane
  • Paul Allen
  • Hussain Al-Aqrabi
  • Richard Hill
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1122)


This paper presents a signal processing methodology based on fast Fourier transform for the early fault detection of electrically motorised devices. We used time-stamped, current draw data provided by Network Rail, UK, to develop a methodology that may identify imminent faults in point machine operations. In this paper we describe the data, preprocessing steps and methodology developed that can be used with similar motorised devices as a means of identifying potential fault occurrences. The novelty of our method is that it does not rely on labelled data for fault detection. This method could be integrated into smart city infrastructure and deployed to provide automated asset maintenance management capabilities.


Condition monitoring Fault detection Point machines Fast Fourier transform Smart city 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Pritesh Mistry
    • 1
    Email author
  • Phil Lane
    • 1
  • Paul Allen
    • 1
  • Hussain Al-Aqrabi
    • 1
  • Richard Hill
    • 1
  1. 1.School of Computing and EngineeringUniversity of HuddersfieldHuddersfieldUK

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