BibTex format
@article{Cai:2017:10.1109/TPWRS.2016.2633321,
author = {Cai, L and Thornhill, NF and Pal, BC},
doi = {10.1109/TPWRS.2016.2633321},
journal = {IEEE Transactions on Power Systems},
pages = {4289--4297},
title = {Multivariate detection of power system disturbances based on fourth order moment and singular value decomposition},
url = {http://dx.doi.org/10.1109/TPWRS.2016.2633321},
volume = {32},
year = {2017}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - This paper presents a new method to detect power system disturbances in a multivariate context, which is based on Fourth Order Moment (FOM) and multivariate analysisimplemented as Singular Value Decomposition (SVD). The motivation for this development is that power systems are increasingly affected by various disturbances and there is a requirement for the analysis of measurements to detect these disturbances. The application results on the measurements of an actual power system in Europe illustrate that the proposed multivariate detection method achieves enhanced detection reliability and sensitivity.
AU - Cai,L
AU - Thornhill,NF
AU - Pal,BC
DO - 10.1109/TPWRS.2016.2633321
EP - 4297
PY - 2017///
SN - 1558-0679
SP - 4289
TI - Multivariate detection of power system disturbances based on fourth order moment and singular value decomposition
T2 - IEEE Transactions on Power Systems
UR - http://dx.doi.org/10.1109/TPWRS.2016.2633321
UR - https://doi.org/10.1109/TPWRS.2016.2633321
UR - http://hdl.handle.net/10044/1/42702
VL - 32
ER -