@article{ded47cca87b24cca917b6901eb5a357d,
title = "Prognostics of transformer paper insulation using statistical particle filtering of on-line data",
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.",
keywords = "transformer, prognostics, paper insulation, life estimation, condition monitoring",
author = "Catterson, {V. M.} and J. Melone and {Segovia Garcia}, M.",
note = "(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.",
year = "2016",
month = jan,
doi = "10.1109/MEI.2016.7361101",
language = "English",
volume = "32",
pages = "28--33",
journal = "IEEE Electrical Insulation Magazine",
issn = "0883-7554",
number = "1",
}