Prognostic modelling utilizing a high fidelity pressurized water reactor simulator

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McGhee, Mark J. and Catterson, Victoria M. and Brown, Blair (2017) Prognostic modelling utilizing a high fidelity pressurized water reactor simulator. IEEE Transactions on Systems, Man and, Cybernetics: Systems. ISSN 2168-2216 (https://doi.org/10.1109/TSMC.2017.2662478)

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Abstract

Within power generation, aging assets and an emphasis on more efficient operation of power systems and improved maintenance decision methods has led to a growing focus on asset prognostics. The main challenge facing the implementation of successful asset prognostics in power generation is the lack of available run-to-failure data. This paper proposes to overcome this issue by use of full-scope high-fidelity simulators to generate the run-to-failure data required. From this simulated failure data a similarity-based prognostic approach is developed for estimating the remaining useful life of a valve asset. Case study data is generated by initializing prebuilt industrial failure models within a 970 MW pressurized water reactor simulation. Such full-scope high-fidelity simulators are mainly operated for training purposes, allowing personnel to gain experience of standard operation as well as failures within a safe, simulated operating environment. This paper repurposes such a high-fidelity simulator to generate the type of data and affects that would be produced in the event of a fault. The fault scenario is then run multiple times to generate a library of failure events. This library of events was then split into training and test batches for building the prognostic model. Results are presented and conclusions drawn about the success of the technique and the use of high-fidelity simulators in this manner.

ORCID iDs

McGhee, Mark J. ORCID logoORCID: https://orcid.org/0000-0002-1039-4715, Catterson, Victoria M. ORCID logoORCID: https://orcid.org/0000-0003-3455-803X and Brown, Blair;
  • Item type:Article
    ID code:60361
    Dates:
    Date
    Event
    16 February 2017
    Published
    16 February 2017
    Published Online
    17 January 2017
    Accepted
    Notes:© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:29 Mar 2017 15:33
    Last modified:12 Dec 2024 05:13
    URI:https://strathprints.strath.ac.uk/id/eprint/60361
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