Identification of sound source parameters by optimization technique : Simultaneous identification of sound source power spectra

2004 ◽  
Vol 2004.42 (0) ◽  
pp. 213-214
Author(s):  
Takuya KONISHI ◽  
Yasuhisa SEKIGUCHI ◽  
Noritoshi NAKAGAWA
Keyword(s):  
Sound Source ◽  
Source Parameters ◽  
Optimization Technique ◽  
Power Spectra ◽  
Source Power ◽  
Simultaneous Identification

scholarly journals Load Frequency Control Using Hybrid Intelligent Optimization Technique for Multi-Source Power Systems

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1581
Author(s):  
Deepak Kumar Gupta ◽  
Amitkumar V. Jha ◽  
Bhargav Appasani ◽  
Avireni Srinivasulu ◽  
Nicu Bizon ◽  
...  
Keyword(s):  
Power Plant ◽  
Power System ◽  
Frequency Control ◽  
Optimization Technique ◽  
Load Frequency Control ◽  
Frequency Deviation ◽  
Source Power ◽  
Load Frequency ◽  
Tie Line

The automatic load frequency control for multi-area power systems has been a challenging task for power system engineers. The complexity of this task further increases with the incorporation of multiple sources of power generation. For multi-source power system, this paper presents a new heuristic-based hybrid optimization technique to achieve the objective of automatic load frequency control. In particular, the proposed optimization technique regulates the frequency deviation and the tie-line power in multi-source power system. The proposed optimization technique uses the main features of three different optimization techniques, namely, the Firefly Algorithm (FA), the Particle Swarm Optimization (PSO), and the Gravitational Search Algorithm (GSA). The proposed algorithm was used to tune the parameters of a Proportional Integral Derivative (PID) controller to achieve the automatic load frequency control of the multi-source power system. The integral time absolute error was used as the objective function. Moreover, the controller was also tuned to ensure that the tie-line power and the frequency of the multi-source power system were within the acceptable limits. A two-area power system was designed using MATLAB-Simulink tool, consisting of three types of power sources, viz., thermal power plant, hydro power plant, and gas-turbine power plant. The overall efficacy of the proposed algorithm was tested for two different case studies. In the first case study, both the areas were subjected to a load increment of 0.01 p.u. In the second case, the two areas were subjected to different load increments of 0.03 p.u and 0.02 p.u, respectively. Furthermore, the settling time and the peak overshoot were considered to measure the effect on the frequency deviation and on the tie-line response. For the first case study, the settling times for the frequency deviation in area-1, the frequency deviation in area-2, and the tie-line power flow were 8.5 s, 5.5 s, and 3.0 s, respectively. In comparison, these values were 8.7 s, 6.1 s, and 5.5 s, using PSO; 8.7 s, 7.2 s, and 6.5 s, using FA; and 9.0 s, 8.0 s, and 11.0 s using GSA. Similarly, for case study II, these values were: 5.5 s, 5.6 s, and 5.1 s, using the proposed algorithm; 6.2 s, 6.3 s, and 5.3 s, using PSO; 7.0 s, 6.5 s, and 10.0 s, using FA; and 8.5 s, 7.5 s, and 12.0 s, using GSA. Thus, the proposed algorithm performed better than the other techniques.

SOFTWARE DEVELOPMENT FOR ESTIMATION OF LOW FREQUENCY SOUND PROPAGATION IN GAS GUIDES OF POWER PLANTS TAKING TO ACCOUNT ACTIVE SOUND SOURCES

2020 ◽  
Vol 5 (4) ◽  
pp. 36-44
Author(s):  
A V Vasilyev
Keyword(s):  
Sound Source ◽  
Power Plants ◽  
Sound Propagation ◽  
Combustion Engine ◽  
Source Parameters ◽  
Low Frequency ◽  
Sound Sources ◽  
Software Application ◽  
Frequency Sound ◽  
Exhaust Noise

This paper is devoted to the problems of modelling and calculation of propagation of low frequency sound in gas guides of power plants taking to account active sound sources. The structure of software for prediction and calculation of low-frequency sound propagation in gas guides have described. Software uses four-pole method and takes to account radiation from additional (active) sound course. By using software it is possible to estimate sound source parameters to provide efficient sound attenuation. Examples of software application to calculation of intake and exhaust noise of internal combustion engine are described. The results of calculations show the possibilities of four-pole method software using to design acoustically the parameters of gas guides and mufflers for the different fields of applications.

scholarly journals DOA Estimation for a Mixture of Uncorrelated and Coherent Sources Based on Hierarchical Sparse Bayesian Inference with a Gauss-Exp-Chi2 Prior

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Pinjiao Zhao ◽  
Weijian Si ◽  
Guobing Hu ◽  
Liwei Wang
Keyword(s):  
Bayesian Inference ◽  
Heavy Tails ◽  
Power Spectra ◽  
Estimation Algorithm ◽  
Doa Estimation ◽  
Variational Approximation ◽  
Model Parameters ◽  
Source Power ◽  
Coherent Sources ◽  
Sparse Prior

Direction of arrival (DOA) estimation algorithms based on sparse Bayesian inference (SBI) can effectively estimate coherent sources without recurring to extra decorrelation techniques, and their estimation performance is highly dependent on the selection of sparse prior. Specifically, the specified sparse prior is expected to concentrate its mass on the zero and distribute with heavy tails; otherwise, these algorithms may suffer from performance degradation. In this paper, we introduce a new sparse-encouraging prior, referred to as “Gauss-Exp-Chi2” prior, and develop an efficient DOA estimation algorithm for a mixture of uncorrelated and coherent sources under a hierarchical SBI framework. The Gauss-Exp-Chi2 prior distribution exhibits a sharp peak at the origin and heavy tails, and this property makes it an appropriate prior to encourage sparse solutions. A three-layer hierarchical sparse Bayesian model is established. Then, by exploiting variational Bayesian approximation, the model parameters are estimated by alternately updating until Kullback-Leibler (KL) divergence between the true posterior and the variational approximation becomes zero. By constructing the source power spectra with the estimated model parameters, the number and locations of the highest peaks are extracted to obtain source number and DOA estimates. In addition, some implementation details for algorithm optimization are discussed and the Cramér-Rao bound (CRB) of DOA estimation is derived. Simulation results demonstrate the effectiveness and favorable performance of the proposed algorithm as compared with the state-of-the-art sparse Bayesian algorithms.

Variogram analysis of magnetic and gravity data

Geophysics ◽  
1999 ◽  
Vol 64 (3) ◽  
pp. 776-784 ◽  
Author(s):  
Stefan Maus
Keyword(s):  
Gravity Data ◽  
Source Parameters ◽  
Power Spectra ◽  
Spectral Model ◽  
Scaling Exponent ◽  
Space Domain ◽  
Variogram Analysis ◽  
Wavenumber Domain ◽  
Gravity Line ◽  
Self Similar

Model variograms describe the space domain statistics of magnetic and gravity data. Variogram analysis can be used to map intensity, depth, and scaling exponent (self‐correlation) of source. In previous statistical methods the measured data were gridded and transformed to the wavenumber domain; then their power spectrum was analyzed using a spectral model. To avoid the loss and distortion of information during gridding and wavenumber domain transform, I transform the spectral model to the space domain instead. Variograms are the appropriate space domain counterparts of magnetic and gravity power spectra. The variogram of the field above a self‐similar half‐space model is governed by three parameters: intensity, depth, and scaling exponent. These source parameters can be mapped with high resolution and accuracy by fitting model variograms directly to magnetic and gravity line data variograms.

scholarly journals Mosquito sound communication: are male swarms loud enough to attract females?

2021 ◽  
Vol 18 (177) ◽  
Author(s):  
Lionel Feugère ◽  
Gabriella Gibson ◽  
Nicholas C. Manoukis ◽  
Olivier Roux
Keyword(s):  
Long Range ◽  
Particle Velocity ◽  
Sound Source ◽  
Large Male ◽  
Anopheles Coluzzii ◽  
Source Power ◽  
Sound Communication ◽  
Sound Levels ◽  
Sound Sensitivity ◽  
Species Specific

Given the unsurpassed sound sensitivity of mosquitoes among arthropods and the sound source power required for long-range hearing, we investigated the distance over which female mosquitoes detect species-specific cues in the sound of station-keeping mating swarms. A common misunderstanding, that mosquitoes cannot hear at long range because their hearing organs are ‘particle-velocity’ receptors, has clouded the fact that particle velocity is an intrinsic component of sound whatever the distance to the sound source. We exposed free-flying Anopheles coluzzii females to pre-recorded sounds of male An. coluzzii and An. gambiae s.s. swarms over a range of natural sound levels. Sound levels tested were related to equivalent distances between the female and the swarm for a given number of males, enabling us to infer distances over which females might hear large male swarms. We show that females do not respond to swarm sound up to 48 dB sound pressure level (SPL) and that louder SPLs are not ecologically relevant for a swarm. Considering that swarms are the only mosquito sound source that would be loud enough to be heard at long range, we conclude that inter-mosquito acoustic communication is restricted to close-range pair interactions. We also showed that the sensitivity to sound in free-flying males is much enhanced compared to that of tethered ones.

scholarly journals Application of CUK and ZETA Dc-Dc Choppers for Power Factor Correction and Power Quality Improvement of BLDC Motor

2020 ◽  
Vol 9 (2) ◽  
pp. 976-983
Keyword(s):  
Quality Improvement ◽  
Power Quality ◽  
Power Factor ◽  
Power Factor Correction ◽  
Source Parameters ◽  
Vital Role ◽  
Bldc Motor ◽  
Source Power ◽  
Brushless Dc ◽  
Power Quality Improvement

For industrial, electrical vehicles, drives, and grid applications ac-dc based inverters with power factor correction is considered as a key element to meet the power system firm regulatory rules. Among these dc-ac inverters, bridgeless converters play a vital role. In this paper, Bridgeless cuk and zeta converter-fed brushless dc (BLDC) motor drive is studied for power factor correction (PFC) and power quality improvement. The major objectives of this work are (i) dc bulk capacitance and inductance use is decreased, so that permanence film capacitors can be utilized, (ii) overall efficiency of BLDC drive system is improved due to decreased losses in the switches and conducting devices and (iii) guaranteed high or unity source power factor. The motor and source parameters are examined in this study for PFC using CUK and ZETA based dc-dc converters with MATLAB software. The work is compared with bridgeless ZETA, CUK and

Experiments on Inverse Method to Illumination by Optimization Technique IMIbyOPTIM with Fixed Light Source Power

2014 ◽  
Vol 348 ◽  
pp. 216-225
Author(s):  
Letícia Jenisch Rodrigues ◽  
Tiago Haubert Andriotty ◽  
Paulo Smith Schneider ◽  
Francis Henrique Ramos França
Keyword(s):  
Light Source ◽  
Inverse Method ◽  
Optimization Technique ◽  
Source Distribution ◽  
Light Sources ◽  
Source Power ◽  
Experimental Procedure ◽  
Broad Variety ◽  
Particular Solution ◽  
Free Placement

The present work reports an experimental procedure designed to validate a particular solution for the distribution of artificial light sources in the sealing of an enclosure obtained by the inverse method IMIbyOPTIM. An illumination design assuming the free placement of purely diffuse light sources aims to generate a uniform illumination field on a work plane. A reduced scale enclosure is built to validate the method effectiveness, by comparing the experimental results to an illuminance target. An equally non-optimized light source distribution is placed on the enclosure and measurements confirm the hypothesis of distortion of the illumination field, already predicted by simulations. After the optimization of the light sources distribution, the measured illumination field becomes closer to the dimensionless unitary target, with a standard deviation of less than 0.021. This particular experiment verifies IMIbyOPTIM predictions and allows continuing the validation process of the method for a broad variety of design combinations.

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