The paper presents a comparative study to investigate the optimum feature selection using three signal processing techniques for automatic clustering of power quality events. The techniques include the wavelet transform, the S transform, and the newly introduced Forward Clarke transform. The last method has the advantage for monitoring all three phases of a three-phase signal simultaneously. The paper provides unique features for each transformation, and then offers a comparative study that is based on the abilities of selected pairs of features to distinguish power quality events. In the paper, the performance of each signal processing technique is studied and an optimum combination of the most useful features is identified.
History
Volume
4
Pagination
52-58
Location
Kowloon, Hong Kong
Start date
2005-10-02
End date
2005-10-06
ISSN
0197-2618
ISBN-13
9780780392083
ISBN-10
0780392086
Language
eng
Publication classification
E1.1 Full written paper - refereed
Copyright notice
2005, IEEE
Editor/Contributor(s)
[Unknown]
Title of proceedings
IAS 2005 : Proceedings of the IEEE Industry Applications Conference Fortieth IAS Annual Meeting
Event
IEEE Industry Applications Society. Conference (40th : 2005 : Kowloon, Hong Kong)