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Full-Text Articles in Physical Sciences and Mathematics
Frequency Dynamics During High Ccgt And Wind Penetrations, Lasantha Meegahapola, Damian Flynn
Frequency Dynamics During High Ccgt And Wind Penetrations, Lasantha Meegahapola, Damian Flynn
Dr Lasantha G Meegahapola
Frequency stability is the paramount concern for secure and reliable operation of a power system. High wind penetration levels are reported in power systems with high thermal generation, and hence its likely to result high wind and combined-cycle gas turbine (CCGT) penetrations during system operation since CCGTs are the most preferable choice for the thermal generation. The doubly-fed induction generators (DFIGs) do not provide any inertial response while the CCGTs have unique frequency response during the system frequency disturbances. Therefore, CCGT turbine response characteristics and the zero inertial response may influence on frequency dynamics of a power network. The main …
Characterization Of Iso -Cf2 I2 In Frequency And Ultrafast Time Domains, Alexander N. Tarnovsky, Patrick Z. El-Khoury, Lisa George, Aimable Kalume, Scott A. Reid, Bruce S. Ault
Characterization Of Iso -Cf2 I2 In Frequency And Ultrafast Time Domains, Alexander N. Tarnovsky, Patrick Z. El-Khoury, Lisa George, Aimable Kalume, Scott A. Reid, Bruce S. Ault
Alexander Tarnovsky
The photolysis of diiododifluoromethane (CF2 I2) in condensed phases was studied by a combination of matrix isolation and ultrafast time-resolved spectroscopy, in concert with ab initio calculations. Photolysis at wavelengths of 355 or 266 nm of CF2 I2:Ar samples (1:5000) held at ∼8 K yielded iso -CF2 I2 (F2 C-I-I), a metastable isomer of CF2 I2, characterized here for the first time. The infrared (IR) spectra of this isomer were recorded in matrix experiments, and the derived positions of the C-F stretching modes are in very good agreement with the predictions of high level ab initio calculations, which show that …
Compressed Sensing-Based Frequency Selection For Classification Of Ground Penetrating Radar Signals, Wenbin Shao, Abdesselam Bouzerdoum, Son Lam Phung
Compressed Sensing-Based Frequency Selection For Classification Of Ground Penetrating Radar Signals, Wenbin Shao, Abdesselam Bouzerdoum, Son Lam Phung
Professor Salim Bouzerdoum
In this paper we present an automatic classification system for ground penetrating radar (GPR) signals. The system extracts the magnitude spectra at resonant frequencies and classifies them using support vector machines. To locate the resonant frequencies, we propose an approach based on compressed sensing and orthogonal matching pursuit. The performance of the system is evaluated by classifying GPR traces from different ballast fouling conditions. The experimental results show that the proposed approach, compared to the approach of using frequencies at local maxima, represents the GPR signal more efficiently using a small number of coefficients, and obtains higher classification accuracy. 2012 …