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Power systems dynamic simulation developments for power quality monitoring:
(GMIT, 2023-05-23) Ankhbayar Vandandorj; Supervisor 1st : Prof. Dr. Ariunbolor Pu.; Supervisor 2nd : Dr. Enkh-Amgalan B.
This Master's thesis addresses the critical issue of high harmonics impacting the power grid system's power quality, resulting in financial losses, equipment heat generation, transmission and distribution line problems, and electrical shock to end-users. These harmonics are especially problematic within industrial environments such as steel melting furnaces, where significant voltage and current volatility are observed. This study utilized real-time data measurement at the highest and lowest potential points within these furnaces. It developed MATLAB's dynamic simulation to accurately represent and analyze the sinusoidal waveform of fundamental harmonics and the distinctive harmonics generated
within the power system's energy conversion process. This analysis adheres to the specifications outlined in the MNS 1778:2007 and IEEE 519-2014 standards, contributing to understanding and preserving power quality in energy dynamics. The gathered data was imported into Microsoft Excel for further processing and evaluation. MATLAB's Graphical User Interface simulated the harmonic oscillations and changes under varying load conditions. The preliminary findings reveal that the odd harmonics, particularly those not divisible by three, are causing substantial damage to the fundamental harmonics waveform, significantly impacting the electrical grid system. Given the current lack of
quality control or standardization in the MNS 1778:2007, it is crucial to integrate the IEEE 519-2014 standard's current quality control measures. Future research will delve into the differences in odd harmonics divided by three and not divided by three and develop strategies to filter them using a hybrid filtering system. Furthermore, the research anticipates implementing current harmonics or quality standards into the Mongolian electrical system, promoting electrical purity in the industrial and mining sectors.
Design And Implementation Of A Data Acquisition System For Multi Fault Diagnosis Analysis In Induction Motors
(GMIT, 2024-05-20) Tuvshin Gankhuyag; Supervisor 1: Prof. Dr. Ariunbolor P.; Supervisor 2: Prof. Dr. Turbat Shagdar
This Master's thesis focuses on the design of a data acquisition system for detecting motor faults early and implementing smart maintenance strategies. Understanding and diagnosing faults in induction motors is critical for maintaining the reliability and efficiency of industrial operations. The thesis aims to design a data acquisition system for the early detection of motor faults. By developing a novel data acquisition system and comparing its performance with existing systems, this research aims to provide valuable insights and practical solutions to enhance motor fault diagnosis, ultimately improving operational reliability and reducing downtime in industrial settings. The study begins by introducing the main research topic, discussing its broader context and significance, and emphasizing the need for a reliable data acquisition system for multi-fault diagnosis in induction motors, particularly squirrel cage motors widely used across various industries. A comprehensive study of key motor elements is provided, including their importance and operating principles. Existing methods for motor fault diagnosis and online condition monitoring are covered. The thesis introduces data acquisition systems and reviews various algorithms for their design, including sensors, signal processing techniques, and data analysis methods. The research delves deeper into data acquisition systems, reviewing various
algorithms for their design, the selection and placement of sensors, signal processing techniques, and data analysis methods. It investigates the development of an algorithm, flow chart, and block diagram for a data acquisition system to study motor fault data from different load motors in the mineral processing plant. The study details the development and design of the data acquisition system, analyzes and compares the results obtained from different motor loads, and discusses essential aspects based on these results. Furthermore, this research discusses the development and evaluation of a newly designed data acquisition system, the "Motor Analyzer LEVEL V1.0." It compares it with existing systems in the industry, specifically the Baker EXP3000 Explorer Dynamic Motor Analyzer (99-EXP3000-CE). The Fast Fourier Transform (FFT) converts real-time data from the time domain into the frequency domain, facilitating detailed
analysis. The "Motor Analyzer LEVEL V1.0" was developed based on this research and was tested against the Baker EXP3000 Explorer. Voltage measurements in the time domain from both systems showed very similar results. However, the horizontal axis scales differed due to variations in sampling rates—1000 Hz for the Motor Analyzer LEVEL V1.0 and 10000 Hz for the Baker EXP3000 Explorer. The frequency domain analysis also demonstrated substantial similarity between the two systems, with a validation accuracy of nearly 98% for both current and voltage measurements in both time and frequency domains. 6 This research marks the first development of the Motor Analyzer LEVEL V1.0 in
Mongolia is contributing significantly to advancements in local industrial technology. The thesis summarizes these findings, presents conclusions, and offers further recommendations for future research to enhance industrial operations' reliability and efficiency.
ASSESSMENT OF SOIL HEAVY METAL DISTRIBUTION IN NALAIKH DISTRICT, ULAANBAATAR, MONGOLIA
(GMIT, 2022) Shinetsetseg Lkhagvasuren; Supervisor 1: Dr. Martin Knippertz; Supervisor 2: Prof. Dr. Gantuya Ganbat
This research aims to assess the distribution and contamination levels of heavy metals (As, Cd, Cr, Cu, Ni, Pb, and Zn) in the soil of Nalaikh District, Ulaanbaatar, Mongolia. Soil samples were collected from various locations, including mining sites, residential areas, and along roadsides, and analyzed using X-Ray Fluorescence (XRF) spectrometry. The findings indicate that the concentrations of certain heavy metals exceed the natural background levels. The environmental quality was evaluated using the Geo-accumulation Index ($I_{geo}$) and the Contamination Factor (CF). The results suggest that mining activities, coal extraction, and urbanization are the primary contributors to soil contamination in the region. This study provides essential data for environmental monitoring and the development of soil remediation strategies in Nalaikh District
ON GAP FUNCTIONS FOR QUASI-EQUILIBRIUM PROBLEMS VIA DUALITY
(Springer Nature, 2024-03-06) Lkhamsuren Altangerel
We extend gap functions to quasi-equilibrium problems by using the duality results. In particular, we obtain new results for quasi-equilibrium problems known earlier for equilibrium problems and mixed quasi-variational inequalities. Bibliography: 12 titles.
Gap functions for quasi-variational inequalities via duality
(Springer Nature, 2018-01-10) Altangerel, L.
This paper deals with an application of duality theory in optimization to the construction of gap functions for quasi-variational inequalities. The same approach was investigated for variational inequalities and equilibrium problems in (Pac. J.
Optim. 2(3): 667-678, 2006; Asia-Pac. J. Oper. Res. 24(3): 353-371, 2007), and the study shows that we can obtain some previous results for variational inequalities as special cases. Moreover, some applications dealing with the generalized Nash equilibrium problems and mixed variational inequalities are presented.