Condition Monitoring of Motorised Devices for Smart Infrastructure Capabilities

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.
Original languageEnglish
Title of host publicationSmart City and Informatization
Subtitle of host publication7th International Conference, iSCI 2019, Guangzhou, China, November 12–15, 2019, Proceedings
EditorsGuojun Wang, Abdulmotaleb El Saddik, Xuejia Lai, Gregorio Martinez Perez, Kim-Kwang Raymond Choo
PublisherSpringer Singapore
Pages392-403
Number of pages12
Edition1st
ISBN (Electronic)9789811513015
ISBN (Print)9789811513008
DOIs
Publication statusPublished - 6 Jan 2020
Event7th International Conference on Smart City and Informatization - Guangzhou, China
Duration: 12 Nov 201915 Nov 2019
Conference number: 7
http://www.isci-conf.org/iSCI2019/

Publication series

NameCommunications in Computer and Information Science
PublisherSpringer Verlag
VolumeCCIS 1122
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference7th International Conference on Smart City and Informatization
Abbreviated titleiSCI 2019
CountryChina
CityGuangzhou
Period12/11/1915/11/19
Internet address

Fingerprint

Condition monitoring
Fault detection
Fast Fourier transforms
Rails
Signal processing
Smart city

Cite this

Mistry, P., Lane, P., Allen, P., Al-Aqrabi, H., & Hill, G. (2020). Condition Monitoring of Motorised Devices for Smart Infrastructure Capabilities. In G. Wang, A. El Saddik, X. Lai, G. Martinez Perez, & K-K. R. Choo (Eds.), Smart City and Informatization: 7th International Conference, iSCI 2019, Guangzhou, China, November 12–15, 2019, Proceedings (1st ed., pp. 392-403). (Communications in Computer and Information Science; Vol. CCIS 1122). Springer Singapore. https://doi.org/10.1007/978-981-15-1301-5_31
Mistry, Pritesh ; Lane, Philip ; Allen, Paul ; Al-Aqrabi, Hussain ; Hill, Graham. / Condition Monitoring of Motorised Devices for Smart Infrastructure Capabilities. Smart City and Informatization: 7th International Conference, iSCI 2019, Guangzhou, China, November 12–15, 2019, Proceedings. editor / Guojun Wang ; Abdulmotaleb El Saddik ; Xuejia Lai ; Gregorio Martinez Perez ; Kim-Kwang Raymond Choo. 1st. ed. Springer Singapore, 2020. pp. 392-403 (Communications in Computer and Information Science).
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title = "Condition Monitoring of Motorised Devices for Smart Infrastructure Capabilities",
abstract = "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.",
keywords = "Condition monitoring, Fast Fourier transform, Fault detection, Point machines, Smart city",
author = "Pritesh Mistry and Philip Lane and Paul Allen and Hussain Al-Aqrabi and Graham Hill",
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Mistry, P, Lane, P, Allen, P, Al-Aqrabi, H & Hill, G 2020, Condition Monitoring of Motorised Devices for Smart Infrastructure Capabilities. in G Wang, A El Saddik, X Lai, G Martinez Perez & K-KR Choo (eds), Smart City and Informatization: 7th International Conference, iSCI 2019, Guangzhou, China, November 12–15, 2019, Proceedings. 1st edn, Communications in Computer and Information Science, vol. CCIS 1122, Springer Singapore, pp. 392-403, 7th International Conference on Smart City and Informatization, Guangzhou, China, 12/11/19. https://doi.org/10.1007/978-981-15-1301-5_31

Condition Monitoring of Motorised Devices for Smart Infrastructure Capabilities. / Mistry, Pritesh; Lane, Philip; Allen, Paul; Al-Aqrabi, Hussain; Hill, Graham.

Smart City and Informatization: 7th International Conference, iSCI 2019, Guangzhou, China, November 12–15, 2019, Proceedings. ed. / Guojun Wang; Abdulmotaleb El Saddik; Xuejia Lai; Gregorio Martinez Perez; Kim-Kwang Raymond Choo. 1st. ed. Springer Singapore, 2020. p. 392-403 (Communications in Computer and Information Science; Vol. CCIS 1122).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - Condition Monitoring of Motorised Devices for Smart Infrastructure Capabilities

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N2 - 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.

AB - 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.

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KW - Fault detection

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Mistry P, Lane P, Allen P, Al-Aqrabi H, Hill G. Condition Monitoring of Motorised Devices for Smart Infrastructure Capabilities. In Wang G, El Saddik A, Lai X, Martinez Perez G, Choo K-KR, editors, Smart City and Informatization: 7th International Conference, iSCI 2019, Guangzhou, China, November 12–15, 2019, Proceedings. 1st ed. Springer Singapore. 2020. p. 392-403. (Communications in Computer and Information Science). https://doi.org/10.1007/978-981-15-1301-5_31