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Lista publikacjiNikola Tesla i jego wynalazki
https://eia.pg.edu.pl/kmisi/pelny-wykaz?p_p_id=2_WAR_espeosciportlet&p_p_lifecycle=0&p_p_state=normal&p_p_mode=view&publicationId=151312
Przedstawiono biografię Nikoli Tesli. Omówiono dziedziny, którymi się zajmował i opisano najważniejsze wynalazki.Wed, 01 Jan 2020 00:00:00 GMThttps://eia.pg.edu.pl/kmisi/pelny-wykaz?p_p_id=2_WAR_espeosciportlet&p_p_lifecycle=0&p_p_state=normal&p_p_mode=view&publicationId=1513122020-01-01T00:00:00ZEstimating the uncertainty of discharge coefficient predicted for oblique side weir using Monte Carlo method
https://eia.pg.edu.pl/kmisi/pelny-wykaz?p_p_id=2_WAR_espeosciportlet&p_p_lifecycle=0&p_p_state=normal&p_p_mode=view&publicationId=151717
Side weir is a hydraulic structure, which is used in irrigation systems to divert some water from main to side channel. It is installed at the entrance of the side channel to control and measure passing water into the side channel. Many studies provided side weir water surface profile and coefficient of discharge to measure water discharge diverted into the side channel. These studies dealt with different side weir shapes (rectangular, trapezoidal, triangular and circular), which were installed perpendicular to the flow direction. Recently, some studies dealt with skew side weir, but these studies still need to more investigation. Here we report to investigate oblique side weir theoretically using statistical method to supported other studies in this case. Measurement uncertainty discharge coefficient Cd was obtained by two methods: analytical according to the 'Guide to the expression of uncertainty in measurement' and the Monte Carlo method. The results indicate that all experimental results are consistent with the analytical results. The relative expanded uncertainty of the discharge coefficient Cd does not exceed 2%.Wed, 01 Jan 2020 00:00:00 GMThttps://eia.pg.edu.pl/kmisi/pelny-wykaz?p_p_id=2_WAR_espeosciportlet&p_p_lifecycle=0&p_p_state=normal&p_p_mode=view&publicationId=1517172020-01-01T00:00:00ZUncertainty of mass flow measurement using centric and eccentric orifice for Reynolds number in the range 10,000 ≤ Re ≤ 20,000
https://eia.pg.edu.pl/kmisi/pelny-wykaz?p_p_id=2_WAR_espeosciportlet&p_p_lifecycle=0&p_p_state=normal&p_p_mode=view&publicationId=151847
The article analyses the impact of the Reynolds number on the estimated uncertainty of the mass flow rate measurement using an orifice plate. The objects of the research were two types of orifices: centric (ISA) and eccentric, with the diameter ratio β = 0.5. Studies were performed by Monte Carlo simulation and experiments for Reynolds numbers in the range 10,000 ≤ Re ≤ 20,000. The obtained results have shown that for both orifice types, the results obtained from the experiments and from the Monte Carlo simulation are similar. The nature of changes in the expanded uncertainty of the flow measurement is very similar for each type. For the both types of orifices, the value of the expanded uncertainty of the flow measurement increases linearly with the increasing Reynolds number.Wed, 01 Jan 2020 00:00:00 GMThttps://eia.pg.edu.pl/kmisi/pelny-wykaz?p_p_id=2_WAR_espeosciportlet&p_p_lifecycle=0&p_p_state=normal&p_p_mode=view&publicationId=1518472020-01-01T00:00:00ZCompressive Sensing Approach to Harmonics Detection in the Ship Electrical Network
https://eia.pg.edu.pl/kmisi/pelny-wykaz?p_p_id=2_WAR_espeosciportlet&p_p_lifecycle=0&p_p_state=normal&p_p_mode=view&publicationId=152102
The contribution of this paper is to show the opportunities for using the compressive sensing (CS) technique for detecting harmonics in a frequency sparse signal. The signal in a ship’s electrical network, polluted by harmonic distortions, can be modeled as a superposition of a small number of sinusoids and the discrete Fourier transform (DFT) basis forms its sparse domain. According to the theory of CS, a signal may be reconstructed from under-sampled incoherent linear measurements. This paper highlights the use of the discrete Radon transform (DRT) techniques in the CS scheme. In the reconstruction algorithm section, a fast algorithm based on the inverse DRT is presented, in which a few randomly sampled projections of the input signal are used to correctly reconstruct the original signal. However, DRT requires a very large set of measurements that can defeat the purpose of compressive data acquisition. To acquire the wideband data below the Nyquist frequency, the K-rank-order filter is applied in the sparse transform domain to extract the most significant components and accelerate the convergence of the solution. While most CS research efforts focus on random Gaussian measurements, the Bernoulli matrix with different values of the probability of ones is applied in the presented algorithm. Preliminary results of numerical simulation confirm the effectiveness of the algorithm used, but also indicate its limitations. A significant advantage of the proposed approach is the speed of analysis, which uses fast Fourier transform (FFT) and inverse FFT (IFFT) algorithms widely available in programming environments. Moreover, the data processing algorithm is quite simple, and therefore memory usage and burden of the data processing load are relatively low.Wed, 01 Jan 2020 00:00:00 GMThttps://eia.pg.edu.pl/kmisi/pelny-wykaz?p_p_id=2_WAR_espeosciportlet&p_p_lifecycle=0&p_p_state=normal&p_p_mode=view&publicationId=1521022020-01-01T00:00:00ZInvestigations of the Methods of Time Delay Measurement of Stochastic Signals Using Cross-correlation with the Hilbert Transform
https://eia.pg.edu.pl/kmisi/pelny-wykaz?p_p_id=2_WAR_espeosciportlet&p_p_lifecycle=0&p_p_state=normal&p_p_mode=view&publicationId=152388
The article presents the results of simulation studies of four methods of estimating time delay for random signals using cross-correlation with the Hilbert Transform. Selected models of mutually delayed stochastic signals were used in the simulations, corresponding to the signals obtained from scintillation detectors in radioisotope measurements of liquid-gas two-phase flow. Standard deviations of the values of the individual functions were designated and compared, along with standard deviations of time delay estimates determined on their basis. The obtained results were compared with the results for classic cross-correlation function (CCF). It was found that for the analysed range of the signal-to-noise ratio (SNR): 0.2 ≤ SNR ≤ 5, the lowest values of standard deviation of time delay estimates were obtained for the CCFHT function (cross-correlation with the Hilbert Transform of the delayed signal).Wed, 01 Jan 2020 00:00:00 GMThttps://eia.pg.edu.pl/kmisi/pelny-wykaz?p_p_id=2_WAR_espeosciportlet&p_p_lifecycle=0&p_p_state=normal&p_p_mode=view&publicationId=1523882020-01-01T00:00:00Z