نتایج جستجو برای: signal power
تعداد نتایج: 870184 فیلتر نتایج به سال:
The safe operation of power system depends on its stability and security supply in all times. The dynamic instability (small signal instability) is one of phenomena that results in power system instability and has been discussed as a challenge in power system control and operation from a long time ago. Commonly the dynamic instability appears as undamped low frequency electromechanical oscillat...
in this paper first we try to analysis the behavior ofthe soas in the optical networks and then have proposed anumerical simple model to simulate the behavior of thesemiconductor optical amplifiers. after that by employing thismodel as inline amplifier for a dwdm optical system, we havesimulated the transmission of 10 channels with bit rate 10 gb/sup to distance 3970 km with rz-dpsk modulation ...
in this paper, a recurrent fuzzy-neural network (rfnn) controller with neural network identifier in direct control model is designed to control the speed and exhaust temperature of the gas turbine in a combined cycle power plant. since the turbine operation in combined cycle unit is considered, speed and exhaust temperature of the gas turbine should be simultaneously controlled by fuel command ...
Background and Objectives: In this paper, a new design strategy was proposed in order to enhance bandwidth and efficiency of power amplifier. Methods: To realize the introduced design strategy, a power amplifier was designed using TSMC CMOS 0.18um technology for operating in the Ka band, i.e. the frequency range of 26.5-40GHz. To design the power amplifier, first a power divider (PD) with a ver...
We have built a vertical seismometer that works based on the moiré technique. One grating is attached to the suspended mass and one to the frame of the instrument. The two gratings are in relative motion, and the resulting moiré pattern magnifies this motion. The intensity of a light beam passing through the moving moiré fringes changes with time, and a light detecting syst...
In a daily power market, price and load forecasting is the most important signal for the market participants. In this paper, an accurate feed-forward neural network model with a genetic optimization levenberg-marquardt back propagation (LMBP) training algorithm is employed for short-term nodal congestion price forecasting in different zones of a large-scale power market. The use of genetic algo...
In this paper, a comparison study for the non-stationary power signal prediction by using several neural models is presented. A reliable and accurate neural forecasting model is trying to be found and concluded. This study is expected to provide some suggestions and could be treated as a reference for the researchers in this area. All simulations are executed by using several neural networks wi...
he wide-spread and growing use of portable, battery-powered devices like cellular telephones, audio-capable personal digital assistants (PDAs), MP3 players and similar applications has resulted in an increasing demand for miniature, ultra low-power digital signal processing (DSP) technology. Many of these devices make heavy use of digital signal processing techniques like modulation, demodulati...
Power system small signal stability analysis aims to explore diierent small signal stability conditions and controls, namely, 1) exploring the power system security domains and boundaries in the space of power system parameters of interest, including load ow feasibility, saddle node and Hopf bifurcation ones, 2) nding the maximum and minimum damping conditions, and 3) determining control action...
We present an algorithmic noise-tolerance (ANT) technique for designing low-power DSP systems. The proposed technique achieves substantial energy savings via voltage overscaling, whereby the supply voltage is scaled beyond the minimum supply voltage Vdd−crit at which the architecture operates correctly for a given throughput specification. The resulting input-dependent soft errors are corrected...
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