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@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}
}

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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  -

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