Please use this identifier to cite or link to this item:
https://idr.l2.nitk.ac.in/jspui/handle/123456789/7368Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Rao, K. | |
| dc.contributor.author | Shubhanga, K.N. | |
| dc.date.accessioned | 2020-03-30T09:58:56Z | - |
| dc.date.available | 2020-03-30T09:58:56Z | - |
| dc.date.issued | 2018 | |
| dc.identifier.citation | 2017 7th International Conference on Power Systems, ICPS 2017, 2018, Vol., , pp.404-409 | en_US |
| dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/7368 | - |
| dc.description.abstract | Wide 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.title | A comparison of power system signal detrending algorithms | en_US |
| dc.type | Book chapter | en_US |
| Appears in Collections: | 2. Conference Papers | |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.