5,922 research outputs found

    Unfolding Low-Energy Gamma-Ray Spectrum Obtained with NaI(Tl) in Air Using Matrix Inversion Method

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    Matrix inversion method is presented to unfold the gamma-ray spectrum obtained with an NaI(Tl) detector using several standard gamma-ray sources. The method is based on response matrix generated by Monte Carlo simulation of mono-energy gamma-ray photon ranging from 10 keV to 1 MeV in step of 10 keV. The comparison of the measured and simulated response function was also performed in order to validate the simulation response function. Good agreement was achieved around the photo-peak region of the spectrum, but slight deviation was observed at low energy region especially at Compton continuum region. The Compton continuum count was significantly transferred into the corresponding photo-peak and consequently the peak to background ratio was improved substantially by the application of the unfolding method. Therefore, small peak can be identified and analyzed that would otherwise be lost in the background

    Identification of partial discharge sources and their location within high voltage transformer windings

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    This thesis is concerned with developing a new approach to high voltage transformers condition monitoring, which involve partial discharge (PD) measurement and localisation within high-voltage transformer windings. This is an important source of information for both diagnosis and prognosis of the health of power transformers. Generally, Partial discharges (PDs) existence in transformer windings are normally due to ageing processes, operational over stressing or defects introduced during manufacture. Although, the presence of PDs does not necessarily indicate imminent failure of a transformer, it is however, a serious insulation degradation or ageing mechanism which can be considered as a precursor of transformer failure. The initial approach taken in this thesis is based on a lumped parameter network model. The model was created and its parameters were approximated using analytical solutions based on the geometrical dimensions of transformer windings. Based on the lumped parameter network model, theoretically the rational function should be a positive-real (PR) function and it is shown later on in this thesis that the model does hold the theoretical assumptions. Nevertheless, impulse response of actual transformer windings constructed for laboratory assessment was shown differently although different methods were used to find rational functions with positive-real (PR). Due to the fact that real transformer windings do not hold the characteristic of positive real transfer function, thus, this thesis finds an alternative and proposes a different approach for PD localisation which is based on energy distribution and features extraction methods for localisation, particularly Wavelet Transform (WT) and Principal Component Analysis (PCA). The idea of the developed approach is based on the fact that any discharge occurring at any point along windings produce an electrical signal that will propagate as a travelling wave towards both ends of the windings. During the propagation of the PD signals along transformer windings, the response with respect to the propagation path taken and termination characteristics will cause attenuation and distortion to the waveforms, ultimately produced changes in the energy characteristics of the PD pulses when they reach measurement sensors

    Reynolds number effect on 3D turbulent offset jet reattaching to a free surface

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    Experimental study was carried out to investigate the effect of Reynolds number on 3D offset jet reattaching to above free surface. Sharp edged square nozzle was used to produce the jets, and the measurements were performed at the following six different Reynolds numbers: 2300, 3700, 5100, 7900, 10300 and 11900. Detailed velocity measurements were made in the symmetry plane. From the PIV data, the mean velocity and turbulence statistics were obtained to study the effects of Reynolds number on the salient features of the jet flow. Preliminary results on streamwise mean velocity decay along the nozzle centerline, contours of streamwise mean velocity and Reynolds shear stress are presented herein

    Comparative study of partial discharge localisation techniques within transformer windings

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    Partial discharge (PD) activity may occur inside power transformers and the existence of this activity produces a negative effect on the transformer until eventually there is catastrophic failure. Therefore, partial discharge detection and measurement within a transformer winding have become an important research area to provide asset health information enabling the maintenance and replacement processes to be carried out effectively. A modern condition monitoring system for PD activity inside HV transformers may use any observable phenomena but here we concentrate on an electrical detection method. The fundamental localization technique uses wavelet multi-resolution analysis for calculating the energy at different frequency ranges and Principal Component Analysis as dimensional reduction tool that produces the output that ultimately can be used as an indicator of PD location inside a transformer winding. However, an alternative method has been developed to using corresponding 3 dimensional filters to enable the localisation process. Both approaches are compared and obtained results are presented in this paper

    Partial discharge propagation inside a high voltage transformer winding: comparison of measurement and simulation

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    Partial discharge (PD) analysis, based on measurement data, assumes that PD signals propagate inside a transformer winding from the PD source to the measurement points. In this paper, signals are injected via an external connection into specific points along the winding of a transformer experimental model. The measurement data obtained using radio frequency current transducers (RFCT) connected to the external bushing tap and the neutral to earth connections are illustrative of the propagation of signals inside a transformer winding. Thus, this paper reports on the development of a simulation model based on a lumped parameter network approach and compares simulation results with experimental measurements of PD signal propagation inside a high voltage transformer winding model. The physical model is an interleaved disc type winding which consists of eight sections and is modeled as having internal winding series resistances (R), inductances (L), series capacitances (K) and shunt capacitances (Cg), the model also includes the effect of their mutual inductances. The parameters are calculated using analytical calculations based on geometrical dimensions and the winding is modeled using a commercially available mathematics package. The simulation creates PD signals at both ends of the winding i.e. at terminal 1 and terminal 8, which are grounded through a small capacitive and resistive element to represent the bushing end and neutral to earth connection respectively. An experiment has been developed that can be used to validate the simulation data and hence determine the accuracy of the derived model and ultimately its use as a PD localisation approac

    Neogene to Quaternary tectonic geomorphology of the Yammouneh fault zone in Northern Lebanon - by Majed Abdel Rahman Fatfat

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    Thesis (M.S.)--American University of Beirut--Department of Geology, 2001;"Advisor: Dr. Abdel-Fattah M. Abdel-Rahman, Associate Professor, Geology--Member of Committee: Dr. Kamal Khair, Lecturer, Geology--Member of Committee: Dr. Salah Sadek, Associate PrBibliography : leaves 110-116The Yammouneh Fault of Lebanon is the major fault in a system of faults that form the plate boundary between the Arabian Plate from the east and the Levantine Plate from the west. This fault extends in oblique direction (SSE-NNW) with respect to the broa

    Low-cost on-chip clock jitter measurement scheme

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    In this paper, we present a low-cost, on-chip clock jitter digital measurement scheme for high performance microprocessors. It enables in situ jitter measurement during the test or debug phase. It provides very high measurement resolution and accuracy, despite the possible presence of power supply noise (representing a major source of clock jitter), at low area and power costs. The achieved resolution is scalable with technology node and can in principle be increased as much as desired, at low additional costs in terms of area overhead and power consumption. We show that, for the case of high performance microprocessors employing ring oscillators (ROs) to measure process parameter variations (PPVs), our jitter measurement scheme can be implemented by reusing part of such ROs, thus allowing to measure clock jitter with a very limited cost increase compared with PPV measurement only, and with no impact on parameter variation measurement resolution

    On using Directional Information for Parameter Space Decomposition in Ellipse Detection

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    In this paper we use the parametric polar representation to extend the application of edge directional information from circle to ellipse extraction. As a result we obtain a mapping which decomposes the parameter space required for ellipse extraction into two independent sub-spaces and one final histogram accumulator. The mapping includes the tangent of the angle of the first and second directional derivatives. These tangents are computed by considering edge direction at two border points. We show that the use of gradient information for parameter space decomposition avoids the intensive point labelling imposed by geometric constraints used by other approaches

    Being The Fittest in New Normal

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    Materi ini disampaikan pada webinar internasional yang diselenggarakan oleh Fakultas Psikologi Universitas Medan Area dengan tema "Pendidikan Psikologi Dan Ekonomi Selama Covid-19 Negara Asean". Adapun pembicara pada webinar ini adalah Mr. Chilman Arisman, Dr. Andik Matulessy, M.Psi., Psikolog, Sutan Emir Hidayat, PhD, dan Dr. Abdul Rahman Shaleh, M.Si - This material was presented in an international webinar organized by the Faculty of Psychology, Medan Area University with the theme "Psychology and Economics Education during Covid-19 Asean Countries". The speakers at this webinar are Mr. Chilman Arisman, Dr. Andik Matulessy, M.Psi., Psychologist, Sutan Emir Hidayat, PhD, and Dr. Abdul Rahman Shaleh, M.S
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