
micom P342 / 343 / 344 / 345
... Two independent stages of overfrequency and four of under frequency are provided. Each stage functions as a definite time element. Turbine abnormal frequency Turbine abnormal frequency protection is included to protect the turbine blade from potential damage due to prolonged under/over frequency ope ...
... Two independent stages of overfrequency and four of under frequency are provided. Each stage functions as a definite time element. Turbine abnormal frequency Turbine abnormal frequency protection is included to protect the turbine blade from potential damage due to prolonged under/over frequency ope ...
Prony Analysis for Power System Transient
... the fundamental frequency. The time interval between any two windows is 0.6 ms. The sampling frequency is 833 Hz, which is sufficient enough for identifying up to 13th harmonic in the system. The data length within a time window is 60. The order of linear prediction model is 20, which is equal to on ...
... the fundamental frequency. The time interval between any two windows is 0.6 ms. The sampling frequency is 833 Hz, which is sufficient enough for identifying up to 13th harmonic in the system. The data length within a time window is 60. The order of linear prediction model is 20, which is equal to on ...
E8 - Signals And Emissions
... digital data bits look like on a conventional oscilloscope? A. A series of sine waves with evenly spaced gaps B. A series of pulses with varying patterns C. A running display of alpha-numeric characters D. None of the above; this type of signal cannot be seen on a conventional oscilloscope ...
... digital data bits look like on a conventional oscilloscope? A. A series of sine waves with evenly spaced gaps B. A series of pulses with varying patterns C. A running display of alpha-numeric characters D. None of the above; this type of signal cannot be seen on a conventional oscilloscope ...
A.C. Chow and D.J. Perreault, “Design of an Active Ripple Filter using Voltage Injection,” 2001 IEEE Power Electronics Specialists Conference , Vancouver, Canada, June 2001, pp. 390-397.
... Active filters may be characterized by whether they inject ripple voltages [3,7] or currents [2,4-10] in the circuit to achieve ripple reduction. Controls governing the ripple correction can be derived through either feedforward [2,9,10] or feedback [5-8]. Feedforward filters sense a ripple componen ...
... Active filters may be characterized by whether they inject ripple voltages [3,7] or currents [2,4-10] in the circuit to achieve ripple reduction. Controls governing the ripple correction can be derived through either feedforward [2,9,10] or feedback [5-8]. Feedforward filters sense a ripple componen ...
Estimating Electric Motor Life Using Motor Circuit Analysis
... the cause of phase unbalance can be determined. If they follow a similar pattern, for example inductance readings are low, medium and high, and impedance readings are low, medium and high, then the unbalance is due to the position of the rotor and the winding is in good condition. If they do not, su ...
... the cause of phase unbalance can be determined. If they follow a similar pattern, for example inductance readings are low, medium and high, and impedance readings are low, medium and high, then the unbalance is due to the position of the rotor and the winding is in good condition. If they do not, su ...
Chirp spectrum

The spectrum of a chirp pulse describes its characteristics in terms of its frequency components. This frequency-domain representation is an alternative to the more familiar time-domain waveform, and the two versions are mathematically related by the Fourier transform. The spectrum is of particular interest when pulses are subject to signal processing. For example, when a chirp pulse is compressed by its matched filter, the resulting waveform contains not only a main narrow pulse but, also, a variety of unwanted artifacts many of which are directly attributable to features in the chirp's spectral characteristics. The simplest way to derive the spectrum of a chirp, now computers are widely available, is to sample the time-domain waveform at a frequency well above the Nyquist limit and call up an FFT algorithm to obtain the desired result. As this approach was not an option for the early designers, they resorted to analytic analysis, where possible, or to graphical or approximation methods, otherwise. These early methods still remain helpful, however, as they give additional insight into the behavior and properties of chirps.