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Embedded Systems Solutions for Fault Detection and Prediction in Electrical Valves

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Proceedings of the 7th World Congress on Engineering Asset Management (WCEAM 2012)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

This paper proposes an embedded system architecture for fault detection and prediction in electrical actuators used in pipelines for oil and gas transportation. The proposed system incorporates a signal processing flow that requires low complex mathematical operations using ANSI-C language. However, when described in the hardware description language (HDL), it can be implemented in dedicated field-programmable gate array (FPGA) or ASIC. To prove its functionalities, a test bench was developed, which aims to reproduce in a laboratory some common faults and degradation processes that may occur in real-world field applications. A data acquisition equipment was used to collect the sensors information from specific points of the actuator. The sensor data collected and simulation were used to validate the propose fault detection methodology.

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Author information

Authors and Affiliations

  1. UFRGS—Control Automation and Robotics Group, Av. Osvaldo Aranha, 103, Porto Alegre-RS, Brazil

    L. B. Piccoli, R. V. B. Henriques, E. Fabres, E. L. Schneider & C. E. Pereira

Authors
  1. L. B. Piccoli
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  2. R. V. B. Henriques
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  3. E. Fabres
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  4. E. L. Schneider
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  5. C. E. Pereira
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Corresponding author

Correspondence to L. B. Piccoli .

Editor information

Editors and Affiliations

  1. World Congress on Engineering Asset Management, Seoul, Korea, Republic of (South Korea)

    Woo Bang Lee

  2. World Congress on Engineering Asset Management, Gyeongnam, Korea, Republic of (South Korea)

    Byeongkuen Choi

  3. Queensland University of Technology, Graceville, Queensland, Australia

    Lin Ma

  4. Queensland University of Technology, Sunnybank Hills, Queensland, Australia

    Joseph Mathew

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© 2015 Springer International Publishing Switzerland

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Piccoli, L.B., Henriques, R.V.B., Fabres, E., Schneider, E.L., Pereira, C.E. (2015). Embedded Systems Solutions for Fault Detection and Prediction in Electrical Valves. In: Lee, W., Choi, B., Ma, L., Mathew, J. (eds) Proceedings of the 7th World Congress on Engineering Asset Management (WCEAM 2012). Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-06966-1_44

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  • DOI: https://doi.org/10.1007/978-3-319-06966-1_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02461-5

  • Online ISBN: 978-3-319-06966-1

  • eBook Packages: EngineeringEngineering (R0)

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