Prognostics of transformer paper insulation using statistical particle filtering of on-line data

Catterson, V. M. and Melone, J. and Segovia Garcia, M. (2016) Prognostics of transformer paper insulation using statistical particle filtering of on-line data. IEEE Electrical Insulation Magazine, 32 (1). pp. 28-33. ISSN 0883-7554 (https://doi.org/10.1109/MEI.2016.7361101)

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Abstract

Prognostics of transformer remaining life can be achieved through a statistical technique called particle filtering, which gives a more accurate prediction than standard methods by quantifying sources of uncertainty.

ORCID iDs

Catterson, V. M. ORCID logoORCID: https://orcid.org/0000-0003-3455-803X, Melone, J. ORCID logoORCID: https://orcid.org/0000-0002-2920-9946 and Segovia Garcia, M. ORCID logoORCID: https://orcid.org/0000-0002-9210-3175;
  • Item type:Article
    ID code:54744
    Dates:
    Date
    Event
    January 2016
    Published
    4 November 2015
    Accepted
    Notes:(c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components 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:11 Dec 2015 01:25
    Last modified:11 Nov 2024 11:14
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/54744
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