scholarly journals Investigations on using white noise as a test signal for performing frequency response measurements on transformers

2022 ◽  
Vol 202 ◽  
pp. 107586
Author(s):  
Saravanakumar Arumugam
1999 ◽  
Vol 105 (2) ◽  
pp. 1367-1367
Author(s):  
Mladen Maletic ◽  
Hrvoje Domitrovic ◽  
Ivan Djurek

2012 ◽  
Vol 226-228 ◽  
pp. 216-220
Author(s):  
Zhi Yong Xie ◽  
Qi Dou Zhou ◽  
Xiao Jun Lv ◽  
Jia Xi Duan

The cylinder for experiment has been excited by steady sinusoidal and random white noise excitation forces and the acceleration responses are measured. The frequency response functions of two excitation ways agree well. The reciprocity law and the linearity are certified by exchanging the excitation and measurement spots and increasing input voltage continuously respectively. The influence of mesh size to calculated time and precision of vacuum vibration mean square velocity and underwater vibration mean square velocity and acoustic radiation are investigated. Results show that time consumed mounts with the mesh size gets smaller, and the vibroacoustic results is less influenced at lower frequencies but much more at higher frequencies.


2018 ◽  
Vol 245 ◽  
pp. 07018
Author(s):  
Nikita Filimonov ◽  
Alexey Yurganov

In this work we consider the issues concerning tuning of the channels of stabilization for the automatic excitation controller at a real object using the frequency response. We present a test procedure for the generator operating in the power system. Also, we give some recommendations for selecting the white-noise parameters, by which the frequency response is obtained. The results are considered on the example of four-machine scheme of the power system (the Kundur scheme).


1973 ◽  
Vol 95 (3) ◽  
pp. 265-273 ◽  
Author(s):  
E. De Boer

In the inner ear (cochlea) the acoustical stimulus is encoded into the ensemble of pulse series occurring in each of the 40,000 nerve fibers of the auditory nerve. The cochlea exhibits, on hydrodynamic grounds, a frequency-to-space transformation with a modest amount of frequency resolution. For sinusoidal stimuli the nerve fibers show a far greater frequency selectivity. The instants at which action potentials (nerve pulses of uniform waveform) may occur in an individual nerve fiber can be predicted from a signal transformation model which contains as its most essential elements a linear filter followed by a triggerable pulse generator. This model explains frequency selectivity and phase locking for sinusoidal stimuli in a satisfactory way, provided the correct parameters are selected in accordance with the specific properties of the nerve fiber under study. Whether such, a model would represent frequency resolution in a more general sense, remains to be seen. As far as the linear circuit, part one of the model, is concerned, application of a cross-correlation technique under stimulation with white noise would yield the filter’s impulse response characteristic. However, in the physiological experiment the output of the filter is not accessible. It has been shown that with a special correlation technique, utilizing the (analog) stimulus signal and the (digital) series of action potentials of a nerve fiber, it is possible to recover the essential properties of the linear filter’s impulse response. Application of this “reverse correlation” technique in experiments on anaesthetized cats has shown that under stimulation with white noise the filter has a very sharp frequency response. This effective frequency response agrees well with the one obtained with sinusoidal signals. That this response is so much sharper than the mechanics of the cochlea would allow for, remains a puzzling, and as yet unexplainable, fact. It is concluded that frequency analysis in the cochlea proceeds as if it were realized by a linear filter and the initiation of nerve pulses is a process that operates quite independently of it. Each one of the nerve fibers of the auditory nerve is apparently excited by a specific portion of the acoustical stimulus’ frequency spectrum; the “resonance frequencies” of the fibers covering the entire range of audible frequencies. This property is referred to as the “principle of specific coding.” The findings bear an interesting relation to properties of the (human) auditory system that have been obtained by psychophysical experiments. From several problem areas one can infer that the manner of signal encoding as described by the principle of specific coding is not exhaustive. It may well be possible that finer details about the excitation pattern of nerve fibers are processed by higher auditory centers.


2015 ◽  
Vol 82 (3) ◽  
Author(s):  
Li-Qun Chen ◽  
Wen-An Jiang

Internal resonance is explored as a possible mechanism to enhance vibration-based energy harvesting. An electromagnetic device with snap-through nonlinearity is proposed as an archetype of an internal resonance energy harvester. Based on the equations governing the vibration measured from a stable equilibrium position, the method of multiple scales is applied to derive the amplitude–frequency response relationships of the displacement and the power in the first primary resonances with the two-to-one internal resonance. The amplitude–frequency response curves have two peaks bending to the left and the right, respectively. The numerical simulations support the analytical results. Then the averaged power is calculated under the Gaussian white noise, the narrow-band noise, the colored noise defined by a second-order filter, and the exponentially correlated noise. The results demonstrate numerically that the internal resonance design produces more power than other designs under the Gaussian white noise and the exponentially correlated noise. Besides, the internal resonance energy harvester can outperform the linear energy harvesters with the same natural frequencies and in the same size under Gaussian white noise.


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