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A sensor selection method for fault diagnostics

Reeves, J.; Remenyte-Prescott, Rasa; Andrews, John

Authors

J. Reeves

JOHN ANDREWS john.andrews@nottingham.ac.uk
Professor of Infrastructure Asset Management



Abstract

In the modern world, systems are becoming increasingly complex, consisting of large numbers of components and their failures. In order to monitor system performance and to detect faults and diagnose failures, sensors can be used. However, using sensors can increase the cost and weight of the system. Therefore, sensors need to be selected based on the information that they provide.
In this paper, a sensor selection process is introduced based on a novel sensor performance metric. In this process, sensors are selected based on their ability to detect faults and diagnose failures of components in the system, as well as the severity of failure effects on system performance. A Bayesian Belief Network (BBN) is used to model the outputs of the sensors. Sensor reading evidence is introduced in the BBN to enable the component failures to be identified. A simple system example is used to illustrate the proposed approach.

Citation

Reeves, J., Remenyte-Prescott, R., & Andrews, J. (2017). A sensor selection method for fault diagnostics. In Safety and Reliability – Theory and Application: ESREL 2017. CRC Press

Acceptance Date Feb 1, 2017
Publication Date May 25, 2017
Deposit Date Mar 6, 2017
Publicly Available Date May 25, 2017
Peer Reviewed Peer Reviewed
Book Title Safety and Reliability – Theory and Application: ESREL 2017
ISBN 9781138629370
Public URL http://eprints.nottingham.ac.uk/id/eprint/41102
Publisher URL https://www.crcpress.com/ESREL-2017-Portoroz-Slovenia-18-22-June-2017/Cepin-Bris/p/book/9781138629370
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf
Additional Information Conference paper from ESREL 2017, June 18-22, Slovenia.
Papers presented at ESREL 2017 will be published in the conference proceedings issued by Taylor and Francis, CRC Press: Safety and Reliability – Theory and Application: ESREL 2017. https://www.crcpress.com/ESREL-2017-Portoroz-Slovenia-18-22-June-2017/Cepin-Bris/p/book/9781138629370

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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