Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Dogan Gokhan Ece"'
Publikováno v:
Expert Systems with Applications. 36:10266-10273
WOS: 000266851000007
The significance of detection and classification of power quality (PQ) events that disturbs the voltage and/or current waveforms in the electrical power distribution networks is well known. Consequently, in spite of a large
The significance of detection and classification of power quality (PQ) events that disturbs the voltage and/or current waveforms in the electrical power distribution networks is well known. Consequently, in spite of a large
Autor:
Ömer Nezih Gerek, Dogan Gokhan Ece
Publikováno v:
European Transactions on Electrical Power. 19:499-508
WOS: 000265723000013
In this work, a new event detection method for power quality analysis based on the statistical analysis of adaptive decomposition signals is presented. The combination of an adaptive prediction filter-based subband decomposi
In this work, a new event detection method for power quality analysis based on the statistical analysis of adaptive decomposition signals is presented. The combination of an adaptive prediction filter-based subband decomposi
Autor:
Dogan Gokhan Ece, Ömer Nezih Gerek
Publikováno v:
Electric Power Systems Research. 78:1047-1052
WOS: 000255226200012
This paper introduces the energy compaction efficiency of a novel two-dimensional (2D) representation for compression of recorded power quality event data. The 2D representation enables to exploit redundancy across vertical
This paper introduces the energy compaction efficiency of a novel two-dimensional (2D) representation for compression of recorded power quality event data. The 2D representation enables to exploit redundancy across vertical
Autor:
Dogan Gokhan Ece, Ömer Nezih Gerek
Publikováno v:
IEEE Transactions on Power Delivery. 21:883-889
WOS: 000236519200042
In this paper, we present a novel power-quality (PQ) event detection and classification method using higher order cumulants as the feature parameter, and quadratic classifiers as the classification method. We have observed t
In this paper, we present a novel power-quality (PQ) event detection and classification method using higher order cumulants as the feature parameter, and quadratic classifiers as the classification method. We have observed t
Autor:
Ömer Nezih Gerek, Dogan Gokhan Ece
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 54:184-191
WOS: 000226342800024
Digital fault recorders installed for monitoring current and/or voltage waveforms acquire and store vast amount of waveform data for post processing. Because of this, effective offline automated event detection from acquired
Digital fault recorders installed for monitoring current and/or voltage waveforms acquire and store vast amount of waveform data for post processing. Because of this, effective offline automated event detection from acquired
Autor:
Dogan Gokhan Ece, Ömer Nezih Gerek
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 53:1040-1046
20th IEEE Instrumentation and Measurement Technology Conference -- MAY 20-22, 2003 -- VAIL, CO
WOS: 000222839700022
In this work, we present a novel two-dimensional (2-D) representation of power system waveforms for the automatic analysis a
WOS: 000222839700022
In this work, we present a novel two-dimensional (2-D) representation of power system waveforms for the automatic analysis a
WOS: 000347046900005
Voltage flicker is a non-stationary waveform for which direct spectral analysis is not appropriate. To overcome this difficulty, a Hilbert-Huang transform based technique is proposed here. Hilbert-Huang transform is a new si
Voltage flicker is a non-stationary waveform for which direct spectral analysis is not appropriate. To overcome this difficulty, a Hilbert-Huang transform based technique is proposed here. Hilbert-Huang transform is a new si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::610cc987f1f8227b76707e11af02067a
https://hdl.handle.net/11421/20326
https://hdl.handle.net/11421/20326
16th International Power Electronics and Motion Control Conference and Exposition (PEMC) -- SEP 21-24, 2014 -- Antalya, TURKEY
WOS: 000360980500125
Hilbert Huang Transform, which was suggested by Huang and improved by Flandrin and his group
WOS: 000360980500125
Hilbert Huang Transform, which was suggested by Huang and improved by Flandrin and his group
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::213d5cf0773e4636ac8b4ddab4fc6c64
https://hdl.handle.net/11421/20361
https://hdl.handle.net/11421/20361
Publikováno v:
2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU).
This article proposes an approach to calculate the short term flicker magnitude (P st ) using Hilbert-Huang Transform (HHT). HHT is an approach which is commonly used in the analysis of nonlinear and nonstationary signals. Since flicker corresponds t
Publikováno v:
2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU).
Hilbert Huang Transform (HHT), which was proposed by Huang and developed by Flandrin and his group, is a new signal processing method that can be used in the analysis of nonlinear and nonstationary signals. This study suggests an approach of using Hi