Please use this identifier to cite or link to this item: https://idr.l1.nitk.ac.in/jspui/handle/123456789/7368
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dc.contributor.authorRao, K.
dc.contributor.authorShubhanga, K.N.
dc.date.accessioned2020-03-30T09:58:56Z-
dc.date.available2020-03-30T09:58:56Z-
dc.date.issued2018
dc.identifier.citation2017 7th International Conference on Power Systems, ICPS 2017, 2018, Vol., , pp.404-409en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/7368-
dc.description.abstractWide Area Measurement Systems (WAMS) have facilitated tracking of oscillations in power system response signals. This has provided an impetus for application of signal measurement-based modal detection methods such as matrix pencil and Prony analysis. Detrending, which means removal of trend in a signal, is a pre-requisite for effective functioning of these modal detection methods. In this work, performance of three methods of detrending viz., Center-of-Inertia (COI)-based detrending, MATLAB function-based detrending and 'Zhou' detrending are compared with particular reference to power system signals. It is indicated that COI-based detrending is better suited to detection of modes from slip signals of generators. � 2017 IEEE.en_US
dc.titleA comparison of power system signal detrending algorithmsen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

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