This paper focuses on the refinement of standard Hilbert–Huang transform (HHT) technique to accurately characterize time varying, multicomponents interarea oscillations. Several improved masking techniques for empirical mode decomposition(EMD) and a local Hilbert transformer are proposed and a number of issues regarding their use and interpretation are identified. Simulated response data from a complex power system model are used to assess the efficacy of the proposed techniques for capturing the temporal evolution of critical system modes. It is shown that the combination of the proposed methods result in superior frequency and temporal resolution than other approaches for analyzing complicated nonstationary oscillations
This study tackles the issue of electromechanical modes identification through a measurement-based m...
This study tackles the issue of electromechanical modes identification through a measurement-based m...
This study tackles the issue of electromechanical modes identification through a measurement-based m...
The data analysis techniques are used widely in power system applications. The Hilbert-Huang transfo...
The data analysis techniques are used widely in power system applications. The Hilbert-Huang transfo...
The data analysis techniques are used widely in power system applications. The Hilbert-Huang transfo...
The data analysis techniques are used widely in power system applications. The Hilbert-Huang transfo...
Power system dynamic processes may exhibit highly complex spatial and temporal dynamics and take pla...
Many transient processes in power systems involve phenomena that vary in time andspace in complicate...
The paper deals with a novel method for the analysis of low-frequency inter-area oscillations, a har...
The paper deals with a novel method for the analysis of low-frequency inter-area oscillations, a har...
International audienceThis paper studies the application of Hilbert Huang Transform (HHT) to oscilla...
Time and frequency localizations are of crucial importance in the analysis of nonlinear and non-stat...
Time and frequency localizations are of crucial importance in the analysis of nonlinear and non-stat...
Abstract: In this contribution, a systematic approach to analyze and characterize the temporal evolu...
This study tackles the issue of electromechanical modes identification through a measurement-based m...
This study tackles the issue of electromechanical modes identification through a measurement-based m...
This study tackles the issue of electromechanical modes identification through a measurement-based m...
The data analysis techniques are used widely in power system applications. The Hilbert-Huang transfo...
The data analysis techniques are used widely in power system applications. The Hilbert-Huang transfo...
The data analysis techniques are used widely in power system applications. The Hilbert-Huang transfo...
The data analysis techniques are used widely in power system applications. The Hilbert-Huang transfo...
Power system dynamic processes may exhibit highly complex spatial and temporal dynamics and take pla...
Many transient processes in power systems involve phenomena that vary in time andspace in complicate...
The paper deals with a novel method for the analysis of low-frequency inter-area oscillations, a har...
The paper deals with a novel method for the analysis of low-frequency inter-area oscillations, a har...
International audienceThis paper studies the application of Hilbert Huang Transform (HHT) to oscilla...
Time and frequency localizations are of crucial importance in the analysis of nonlinear and non-stat...
Time and frequency localizations are of crucial importance in the analysis of nonlinear and non-stat...
Abstract: In this contribution, a systematic approach to analyze and characterize the temporal evolu...
This study tackles the issue of electromechanical modes identification through a measurement-based m...
This study tackles the issue of electromechanical modes identification through a measurement-based m...
This study tackles the issue of electromechanical modes identification through a measurement-based m...