Fault detection and diagnosis in power transformers: a comprehensive review and classification of publications and methods

AR Abbasi - Electric Power Systems Research, 2022 - Elsevier
A challenging problem in the protection of power transformers is the fault detection and
diagnosis (FDD). FDD has an essential role in the reliability and safety of modern power …

FRA interpretation using numerical indices: State-of-the-art

MH Samimi, S Tenbohlen - International Journal of Electrical Power & …, 2017 - Elsevier
Abstract Frequency Response Analysis (FRA) is an effective diagnostic technique for
detection of mechanical deformations inside a power transformer. The results of previous …

Sweep frequency response analysis (SFRA) for the assessment of winding displacements and deformation in power transformers

JR Secue, E Mombello - Electric Power Systems Research, 2008 - Elsevier
The sweep frequency response analysis (SFRA) is an analysis technique for detecting
winding displacement and deformation (among other mechanical and electrical failures) on …

Rational basis functions for robust identification from frequency and time-domain measurements

H Akçay, B Ninness - Automatica, 1998 - Elsevier
This paper investigates the use of general bases with fixed poles for the purposes of robust
estimation. These bases, which generalise the common FIR, Laguerre and two-parameter …

A probabilistic feature to determine type and extent of winding mechanical defects in power transformers

K Pourhossein, GB Gharehpetian, E Rahimpour… - Electric Power Systems …, 2012 - Elsevier
Frequency response analysis (FRA) is a widely-used method to detect axial displacement
(AD) and radial deformation (RD) in windings of power transformers, because of its high …

Off/on-line FRA condition monitoring technique for power transformer

S Birlasekaran, F Fetherston - IEEE Power Engineering Review, 1999 - ieeexplore.ieee.org
This letter presents a novel and sensitive frequency response analysis (FRA) technique for
off/on-line condition monitoring of expensive power apparatus. The main objective is to …

Maximum likelihood estimation of state space models from frequency domain data

A Wills, B Ninness, S Gibson - IEEE Transactions on Automatic …, 2009 - ieeexplore.ieee.org
This paper addresses the problem of estimating linear time invariant models from observed
frequency domain data. Here an emphasis is placed on deriving numerically robust and …

Orthonormal Basis Functions for Continuous-Time Systems and Lp Convergence

H Akçay, B Ninness - Mathematics of Control, Signals and Systems, 1999 - Springer
In this paper, model sets for linear-time-invariant continuous-time systems that are spanned
by fixed pole orthonormal bases are investigated. These bases generalize the well-known …

Subspace-based identification of power transformer models from frequency response data

H Akcay, SM Islam, B Ninness - IEEE Transactions on …, 1999 - ieeexplore.ieee.org
A recent frequency-domain, subspace-based algorithm is used in the identification of two
power transformers. The results indicate that the subspace-based identification algorithms …

Operational modal analysis and model updating with a cyclostationary input

D Hanson - 2006 - unsworks.unsw.edu.au
This thesis addresses the problem of identifying the modal properties of a system based only
on measurements of the system responses. This situation is frequently encountered in …