Relevant bibliographies by topics / Electric monitoring

Academic literature on the topic 'Electric monitoring'

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Published: 30 May 2022
Last updated: 31 May 2022

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Journal articles on the topic "Electric monitoring"

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Ferreira, Aracéli C. S., André L. Bufoni, Jazmin F. de La Cueva, Vinícius M. Maia, Dilo Vianna, and uliana M. Queiroz. "Assessing the Brazilian Electric Sector’s Financial Monitoring Milestone." International Journal of Trade, Economics and Finance 12, no. 2 (April 2021): 48–53. http://dx.doi.org/10.18178/ijtef.2021.12.2.692.

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The Brazilian energy sector adopted a new regulation system in 2015 due to a system collapse threat. The system was changed to contractually incorporate firms’ economic-financial monitoring. This paper aims to assess the progress of this monitoring model toward achieving its goals. Thus, we proceed with a triangulation with three analyses. First, we analyse the literature to indicate if the economic-financial monitoring shows a hybrid form of adoption as suggested by the literature as the most suitable towards achieving regulatory goals. Second, we verify the perception of the economic-financial monitoring efficiency by the regulatory agency. Third, we evaluate the behaviour of some financial indicators before and after the new regulation. Our results show that, first, the economic-financial monitoring adopts a hybrid form which may drives better monitoring. Second, the perception of the regulator regarding efficiency of the financial monitoring model is favourable. Third, our results show that the sector leverage and profitability variances were significantly reduced after the implementation of financial monitoring which indicates less Asymmetric Information and consequently, better monitoring. In general, our results indicate some uncertainty reduction and more uniform behaviour of the entire sector after adopting an economic-financial monitoring system.
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Garcia, Kathreen Charrise E., and Benilda Eleonor V. Comendador. "Field Service Monitoring System for Electric Distributors’ Third Party Contractors." International Journal of Information and Electronics Engineering 6, no. 3 (2016): 175–79. http://dx.doi.org/10.18178/ijiee.2016.6.3.619.

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Todoroki, Akira, Ryosuke Matsuzaki, and Yoshinobu Shimamura. "OS09W0059 Wireless Strain Monitoring of Tires Using Electric Capacitance Changes." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2003.2 (2003): _OS09W0059. http://dx.doi.org/10.1299/jsmeatem.2003.2._os09w0059.

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Isdawimah, Isdawimah. "Error Optimization in Electrical Power Quality Monitoring Data." Logic : Jurnal Rancang Bangun dan Teknologi 19, no. 1 (March 30, 2019): 1. http://dx.doi.org/10.31940/logic.v19i1.1214.

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In the application of electrical power quality control, the necessity for data processing becomes very important. The measurement data obtained is the latest data and measured in real time with good time resolution and with low error. The object of research is the quality of electric power, the research is about ways of measuring quality of electrical power to obtain accurate data in accordance with actual conditions. This method is capable of measuring data of electrical power quality that changes very quickly with a low error. This data is used as a basis for improving the quality of electric power accurately and accurately.
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Sousa, Pedro José, Manuel Rodrigues Quintas, and Paulo Abreu. "Modular System for Cold Storage Monitoring." International Journal of Online Engineering (iJOE) 12, no. 04 (April 28, 2016): 46. http://dx.doi.org/10.3991/ijoe.v12i04.5127.

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This work describes the development of an embedded electronic-based monitoring system suitable for cold-storage electrical equipment. The system uses a touchscreen and provides sensors for temperature, relative humidity, electric power consumption and detection of door position. To monitor the electric power, a special purpose current sensor was developed and calibrated. The system adopts a modular architecture using cabled and wireless communications, making it suitable for integration in other logging and alarm generation systems. The system was tested on a home fridge to demonstrate its capabilities.
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Drenker, S., and A. Kader. "Nonintrusive monitoring of electric loads." IEEE Computer Applications in Power 12, no. 4 (1999): 47–51. http://dx.doi.org/10.1109/67.795138.

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Kokot, M., and Jan Holnicki-Szulc. "Health Monitoring of Electric Circuits." Key Engineering Materials 293-294 (September 2005): 669–76. http://dx.doi.org/10.4028/www.scientific.net/kem.293-294.669.

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A methodology of defect identification in linear DC circuits based on so called Virtual Distortion Method (VDM) will be presented. The proposed approach takes adventage of the analogy linking mechanical models of truss structures and electric circuits. In this paper we cover the issue of modelling defects in electric circuits by compatible state of distortions, next we introduce the concept of influence matrix Dij, which describes global sensitivity of the circuit and enables fast recalculation of system response, and we formulate a gradient method of defect identification (inverse problem) based on local current and voltage measurements. In the following analysis we focus on so-called impotent states of distortions, which are the source of ambiguity of solution. We show that these difficulties can be overcome by a proper measuring strategy.
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Barkas, Dimitris A., George Ch Ioannidis, Stavros D. Kaminaris, and Constantinos S. Psomopoulos. "Design of a Supraharmonic Monitoring System Based on an FPGA Device." Sensors 22, no. 5 (March 4, 2022): 2027. http://dx.doi.org/10.3390/s22052027.

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During the last few decades, the poor quality of produced electric power is a key factor that has affected the operation of critical electrical infrastructure such as high-voltage equipment. This type of equipment exhibits multiple different failures, which originate from the poor electric power quality. This phenomenon is basically due to the utilization of high-frequency switching devices that operate over modern electrical generation systems, such as PV inverters. The conduction of significant values of electric currents at high frequencies in the range of 2 to 150 kHz can be destructive for electrical and electronic equipment and should be measured. However, the measuring devices that have the ability of analyzing a signal in the frequency domain present the ability of analyzing up to 2.5 kHz–3 kHz, which are frequencies too low in comparison to the high switching frequencies that inverters, for example, work. Electric currents at 16 kHz were successfully measured on an 8 kWp roof PV generator. This paper presents a fast-developed modern measuring system, using a field programmable gate array, aiming to detect electric currents at high frequencies, with a capability for working up to 150 kHz. The system was tested in the laboratory, and the results are satisfactory.
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Wan-Ye, Yao, Sun Teng-Zhong, and Jiang Xue-Li. "The Design and Implement of Electrical Operator Monitoring System." International Journal of Advanced Pervasive and Ubiquitous Computing 5, no. 3 (July 2013): 60–65. http://dx.doi.org/10.4018/ijapuc.2013070106.

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Since the traditional electrical system data monitor equipment has some shortage, such as limited monitoring objects, single monitoring direction, the authors combine computer science Internet technologies with electric power system production process and extend the scope of monitoring system. This paper analyzes the key technology by which the operator monitoring system can be realized, and puts forward the scheme, which based on.NET platform, of recording operator’s behaviors during electric power generation, and it is implemented in WINDOWS system.
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Ding, Zhi Lin, Yu Hong Wang, Da Qiang Qiu, Yan Zhu, Xiao Han Liu, and Ping Xiao. "Selection of Online Electric Quantities for Converter Condition-Based Maintenance." Applied Mechanics and Materials 521 (February 2014): 273–78. http://dx.doi.org/10.4028/www.scientific.net/amm.521.273.

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Converter is the core of a HVDC transmission system. In order to recognize the converter fault, the state of electric parameters is measured by real-time online monitoring method. It has great significance for making condition-based maintenance strategy. In the paper, the basic structure and fault type of the converter are discussed. Based on the ETSDAC of ADPSS simulation package, a HVDC transmission system is established, and the essential characteristics of each electrical quantity in main circuit when fault occurs are analyzed. Under different fault conditions, energy gradient is used to characterize changes of electric parameters. Finally, according to the energy variation, the online monitoring electrical quantities of each fault state are determined. Simulation results show that this method can be used to choose electric quantities for online monitoring.
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Dissertations / Theses on the topic "Electric monitoring"

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Hendricks, Carl F. B. "Performance monitoring of electric mining shovels." Thesis, McGill University, 1990. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=74276.

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A P&H 2800XP electric mining shovel working in a Western Canadian surface coal mine was instrumented with microprocessor-based monitoring equipment, and its performance monitored as it excavated a series of test blasts. Hoist and crowd motor armature voltages and currents, dipper trajectories, cycle times and load weights were recorded. A diggability index has been established based on the responses of the hoist motor. Values of the diggability index correlated well with digging conditions as observed during monitoring and with muckpile fragmentation size distributions as determined by a photographic survey. This correlation establishes the ability of an instrumented shovel to diagnose the efficiency of ground preparation practices (blasting) by identifying variations in muckpile diggability. The data on dipper trajectory has demonstrated that variations in digging practices do exist amongst an experienced group of shovel operators, and that variation in trajectory significantly influences values of the recorded motor performance parameters. An approach is described to account for variations in digging practice on assessments of diggability. An allied investigation into the ability of time studies to define diggability, revealed dig cycle times to be operator dependant, and unrelated to levels of digging effort.
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Ramsey, Jack S. "Shipboard applications of non-intrusive load monitoring." Thesis, Monterey, California. Naval Postgraduate School, 2004. http://hdl.handle.net/10945/1475.

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Zumr, Zdenek. "Last Mile Asset Monitoring: Low Cost Rapid Deployment Asset Monitoring." PDXScholar, 2014. https://pdxscholar.library.pdx.edu/open_access_etds/1967.

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Installation and utilization of residential distribution transformers has not changed substantially over a long period of time. Utilities typically size their transformers based on a formula that takes into account broadly what types and how many dwellings will be connected. Most new residential dwellings feature 200 Amp service per household with an anticipated energy demand of under 20,000 kWh per year. Average electrical energy consumption varies from state to state but averages to 11,280 kWh per year. Energy demand is expected to fall into a typical residential load curve that shows increased demand early in the morning, then decreasing during the day and another peak early to late evening. Distribution transformers are sized at the limit of the combined evening peak with the assumption that the transformer has enough thermal mass to absorb short overloads that may occur when concurrent loading situations among multiple dwellings arise. The assumption that concurrent loading is of short duration and the transformer can cool off during the night time has been validated over the years and has become standard practice. This has worked well when dwelling loads follow an averaging scheme and low level of coincidence. With the arrival of electric vehicles (EV's) this assumption has to be reevaluated. The acquisition of an electric vehicle in a household can drive up energy demand by over 4000 kWh per year. Potentially problematic is the increased capacity of battery packs and the resulting proliferation of Level 2 chargers. The additional load of a single Level 2 charger concurring with the combined evening peak load will push even conservatively sized distribution transformers over their nameplate rating for a substantial amount of time. Additionally, unlike common household appliances of similar power requirements such as ovens or water heaters, a Level 2 battery charger will run at peak power consumption for several hours, and the current drawn by the EVs has very high levels of harmonic distortion. The excessive loading and harmonic profile can potentially result in damaging heat build-up resulting in asset degradation. In this thesis I present a device and method that monitors pole mounted distribution transformers for overheating, collect and wirelessly upload data and initiate commands to chargers to change output levels from Level 2 to Level 1 or shut down EV charging altogether until the transformer returns into safe operational range.
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Gomes, César Emanuel Brandão. "Fine grained monitoring of electric energy consumption." Master's thesis, Universidade de Aveiro, 2012. http://hdl.handle.net/10773/10937.

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Mestrado em Engenharia Electrónica e Telecomunicações
Hoje em dia assistimos a uma grande pressão e esforço no sentido de estimular a conservação de energia, seja devido a limitações económicas, preocupações ambientais, ou normas regulatórias. No topo do consumo de energia está a energia sob a forma de electricidade Para se conseguir incentivar a utilização eficiente da energia é necessário fornecer consciencialização energética. Se os consumidores de elecricidade tiverem acesso a informação detalhada sobre como, quando e que aparelhos estão a consumir energia, estes poderão tomar boas e bem suportadas decisões e anuir mudar os seus hábitos de modo a reduzir o consumo de energia, e por fim, gastar menos dinheiro. O projecto aqui apresentado desenvolve as bases para um aparelho que fornece informação detalhada sobre o consumo de energia eléctrica para uma casa. A informação a ser fornecida deverá ser separada individualmente para virtualmente cada aparelho singular presente. A técnica escolhida para desenvolver o aparelho foi Monitorização Não Intrusiva de Cargas de Aparelhos. A partir de um único ponto de medida o sistema deverá identificar as cargas individuais na casa, o que faz com que o hardware tenda a ser simples e minimal, recaindo a complexidade para o software. O sistema desenvolvido deverá ser de baixo custo e de fácil instalação. O sistema que foi desenvolvido foi capaz de identificar individualmente e com grande sucesso os aparelhos presentes num ambiente controlado. Ao contrário de outros sistemas deste tipo, o sistema apresentado nesta dissertação é capaz de distinguir cargas eletricamente idênticas, através do uso da técnica de Medição Indirecta de Potência implementada através de uma Rede de Sensores Sem Fios.
Nowadays we witness a great pressure and effort in order to stimulate energy conservation, either due to economic constraints, environmental concerns, or regulatory pressures. At the top of the energy consumption is the consumption of energy in the form of electricity. The first step to improve energy utilization efficiency is energy awareness. So if there is some manner to provide the average person information about how he is consuming electricity, he may take it by its own interest, and In fact, if electricity consumers have access to detailed information about how, when and by which devices energy is consumed, they can make good and well supported decisions on how they can change their habits to spend less energy and ultimately spend less money. The project hereby presented, develops the basis for a device that provides detailed information on electrical energy expenditure for a home. The information to be provided aims to be disambiguated for virtually every individual appliance present. The chosen technique to develop such a device was Non-Intrusive Appliance Load Monitoring. The system identifies individual loads from a single measurement point. That makes that the hardware tends to be simple and minimal, passing the complexity to the software. The system aims to be very low cost and easy to deploy. The system developed was able to identify with great success individual appliances in the total load on a controlled environment. Unlike other systems of this type, the system presented in this dissertation has the ability of disambiguating electrically identical loads, by the use of the technique of Indirect Power Sensing deployed with a Wireless Sensor Network
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Kryukova, N. V., Evgen Viktorovych Goncharov, and I. V. Polyakov. "Modern monitoring systems of electric power lines." Thesis, NTU "KhPI", 2018. http://repository.kpi.kharkov.ua/handle/KhPI-Press/38909.

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Jessett, Andrew. "Tools for performance monitoring of electric rope shovels /." [St. Lucia, Qld.], 2001. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe16946.pdf.

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Sinclair, Paul Grant. "An adaptive battery monitoring system for an electric vehicle." Thesis, University of Canterbury. Department of Electrical Engineering, 1998. http://hdl.handle.net/10092/2353.

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In electric vehicles it is important to know the state of charge of the batteries in order to prevent vehicle strandings and to ensure that the full range of the vehicle is exploited. It is also useful to know state of health information about the batteries in the battery bank, This information can be used to predict when the batteries need replacing and can also identify batteries that are not performing optimally within the battery bank. This thesis describes a battery monitoring system that is able to calculate the state of charge and state of health of niultiple batteries in a battery bank, It has been designed specifically to monitor lead-acid batteries in an electric car environment using noninvasive measurement techniques. The monitor incorporates an adaptive monitoring method, which is based on coulometric measurements when the batteries are under load and predicted open circuit voltage measurements under no-load conditions. The battery monitor is micro controller based and uses remote battery monitoring modules to make the necessary battery measurements. Information is presented to the user of the car in the form of a state of charge meter on the instrument panel, similar to a fuel gauge in a conventionally power vehicle, and an alphanumeric LCn panel on the car's dashboard. . Aspects of both the monitor hardware and software are considered in this thesis. Results obtained from bench tests of the monitor are presented which are followed by an evaluation of the monitor's performance. Consideration is also given to possible future improvements to the monitoring system.
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Andersson, Jonas. "Ensure the electric power system's durability through battery monitoring." Thesis, Uppsala universitet, Elektricitetslära, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-244318.

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Battery monitoring is used to acquire information about battery conditions. It’s a regular technology that most of us uses on daily bases. The charge gauge in a cellphone, consisting of bars which indicate the degree of charge left in the battery is an example. Battery monitoring gives the cellphone user information about the battery. The background to the thesis work is that this technology is requested for vehicles because empty or broken batteries are one of the most common causes for involuntary stops. One way to monitor battery conditions is with a battery sensor, which is a mechanical device that measures and calculates battery conditions. This thesis’ purpose is to develop evaluation criteria and evaluation methods to assess the possibility for battery sensors to deliver competent information in order to ensure functionality of electric systems. To enable generalized evaluations of battery sensors, their delivered information are delimited to three different and defined battery conditions which are State-Of-Charge (SOC), State-Of-Function (SOF) and State-Of-Health (SOH). To be able to compare battery sensor calculations and actual battery conditions, a method to obtain the battery conditions was needed. To determine this method a literature review was performed and because of an accurate and continuous method was needed, Coulomb counting was selected. Coulomb counting is a book-keeping method which calculates the SOC accurate based on current integration. To develop criteria that evaluate battery sensors possibilities to deliver competent information, tests about how vehicles starting affect batteries as well as tests about battery sensors performance in different scenarios have been investigated. The thesis work shows that the SOC has to be limited based on the degree of charge left in a battery, SOF has to be limited to batteries potential to deliver a certain voltage for a specific constant current and for SOH it is most important to maintain a continuous countdown. The evaluation methods to evaluate battery sensors according to the criteria have been developed to test and ensure the battery sensors performance based on several test-cycles. The evaluation methods with certain conditions and test-cycles should be comparable to actual conditions for battery sensors installed on vehicles to ensure a continuous delivering of competent information. To summary the thesis work has developed and partly verified evaluation criteria and evaluation methods to evaluate battery sensors possibility to deliver competent information about the battery conditions SOC, SOF and SOH. These criteria and methods make it possible to evaluate if a battery sensor, any battery sensor calculating these battery conditions based on similar parameters, could deliver enough competent information in order to ensure functionality of electric systems.
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Wafula, Alfred Brian. "Dynamic Monitoring of Cytotoxicity Using Electric Cell Substrate Impendence Sensing." Scholar Commons, 2006. http://scholarcommons.usf.edu/etd/3800.

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Electric cell-substrate impedance sensing (ECIS) pioneered by Giaever and Keese is suitable for continuous, automatic and real-time cell attachment analysis. ECIS is a novel electrical method to study, in real time, many of the activities of animal cells when grown in tissue culture. These include morphological changes, cell locomotion, and other behaviors directed by the cell's cytoskeleton. One of the most direct ECIS measurements is that of the attachment and spreading behaviors of cells. These measurements allow one to study and quantify the interaction of cultured cells with extracellular matrix (ECM) proteins and other macromolecules continuously and in real time. Traditionally, cell attachment and spreading measurements are labor intensive, requiring many manipulations of the cultures for microscopic evaluation of cell behavior. With ECIS, these same measurements can be made in an automated approach without opening the door of the incubator. The ECIS core technology is based on a technique of measuring the change in impedance of a small electrode to AC current flow. The heart of the measurement is a specialized slide that has 8 individual wells for cell culturing. The base of the device has an array of gold film electrodes that connect to the ECIS electronics to each of the 8 wells. In our work we used ECIS to study the attachment and spread of HUVEC and 3T3 cells. The curve of HUVEC showed higher resistances than that of 3T3 cells. This was due to the fact we used gelatin to aid in attachment of HUVECs which accounted for the high resistances. 3T3 cells attached easily without help of gelatin. We also studied the cytotoxicity of HUVEC and 3T3 cells. The drugs that we used were CB, H7 and CdCl2. We found that the best drug was CB since it affected the cells even at low concentrations. H7 effects were mild while CdCl2 only worked at high concentrations. HUVEC cells make loose contact on electrodes and are easily detached by drugs. 3T3 makes firm at tachment to the electrodes and are not easily detached from the electrodes. Electrical impedance measurements on multiple electrodes are highly attractive in this application because of the potential for direct computer control.
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Lee, Kwangduk Douglas 1970. "Electric load information system based on non-intrusive power monitoring." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/29633.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2003.
Includes bibliographical references (leaves 192-200).
Obtaining high quality information economically and reliably is always a difficult objective to achieve. The electric power industry and consumers recently face many challenges, such as deregulation, autonomous power systems and power quality. The knowledge of the nature and state of the power systems will undoubtedly be the key in meeting these challenges. The Non-Intrusive Power Monitor is a novel attempt to collect such information with a minimal physical installation. Raw voltage and current are measured at a single location to yield harmonic power signals. They typically carry the fingerprints of the electric loads present in a system, and their analysis can produce such information as the operational and diagnostic status of the loads. The power signals can also be used for the system identification, parameter estimation and energy consumption optimization study. In this research, the power signals are mostly modeled as stochastic processes and various detection, estimation and pattern recognition algorithms are developed to extract desired information. A constant load status identifier is developed in this thesis which can identify the ON and OFF status of electric loads, both from their steady-state power consumptions and transient patterns. The identifier can also classify multiple load events occurring at a same time and estimate states without load events. The power consumed by a variable speed drive is also estimated using the correlations between the fundamental powers and higher harmonic powers. The harmonic signal generated by the imbalance of a rotating machine is estimated to monitor the drive, i.e. its speed and magnitude of the imbalance. The algorithms are thoroughly tested using the data collected at real buildings, and some of them are implemented on-line.
(cont.) This thesis focuses on developing mathematical models and signal processing algorithms for the customers at the end of the AC distribution system. Its results will directly benefit the developments of a ubiquitous electric meter in a deregulated market, a diagnostic or prognostic tool for mission-critical systems and an intelligent power quality monitor.
by Kwangduk Douglas Lee.
Ph.D.
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Books on the topic "Electric monitoring"

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Tavner, Peter J. Condition monitoring of electrical machines. Letchworth, Hertfordshire, England: Research Studies Press, 1987.

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Artamonov, V. V. Mikrostrukturnyĭ monitoring energooborudovanii︠a︡. Sankt-Peterburg: Nauka, 2010.

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Hough, Robert E. Field monitoring of energy use. Washington, D.C: National Rural Electric Cooperative Association, 1995.

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Onyekpere, Eze. Electric power sector reforms: Monitoring as it unfolds. Lagos: Socio-Economic Rights Initiative (SERI), 2006.

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Vas, Peter. Parameter estimation, condition monitoring, and diagnosis of electrical machines. Oxford: Clarendon Press, 1993.

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Mäkivirta, Aki. Use of the median filter in haemodynamic monitoring. Espoo: Technical Research Centre of Finland, 1992.

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Thalimer, John R. Motor monitoring system for a continuous miner. Washington, D.C: U.S. Dept. of the Interior, Bureau of Mines, 1992.

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Jones, G. R. High pressure arcs in industrial devices: Diagnostic and monitoring techniques. Cambridge [England]: Cambridge University Press, 1988.

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Tang, W. H. Condition monitoring and assessment of power transformers using computational intelligence. London: Springer, 2011.

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Wolak, Frank A. Lessons from international experience with electricity market monitoring. [Washington, D.C: World Bank, 2005.

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Book chapters on the topic "Electric monitoring"

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Raugel, Pierre-Jean. "Foss Electric." In Rapid Food Analysis and Hygiene Monitoring, 325–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-58362-9_22.

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Kokot, M., and Jan Holnicki-Szulc. "Health Monitoring of Electric Circuits." In Damage Assessment of Structures VI, 669–76. Stafa: Trans Tech Publications Ltd., 2005. http://dx.doi.org/10.4028/0-87849-976-8.669.

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Monti, Antonello, and Ferdinanda Ponci. "Electric Power Systems." In Intelligent Monitoring, Control, and Security of Critical Infrastructure Systems, 31–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44160-2_2.

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Liu, Hui. "Interval Prediction of Electric Load Time Series." In Non-intrusive Load Monitoring, 247–77. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-1860-7_10.

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Liu, Hui. "Deterministic Prediction of Electric Load Time Series." In Non-intrusive Load Monitoring, 215–45. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-1860-7_9.

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Mazzoleni, Mirko, Gianpietro Di Rito, and Fabio Previdi. "Fault Diagnosis and Condition Monitoring Approaches." In Electro-Mechanical Actuators for the More Electric Aircraft, 87–117. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-61799-8_3.

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Kamal, Muhammad Faiz Bin Mohd, Ranjit Singh Sarban Singh, Siti Aisyah Anas, and Mahaveerakannan Renganathan. "IoT-Based Electric Monitoring System for Smart Electric Meter Application." In Control and Measurement Applications for Smart Grid, 209–18. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7664-2_17.

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Capasso, Clemente, Moncef Hammadi, Stanislao Patalano, Ruixian Renaud, and Ottorino Veneri. "RFLP Approach in the Designing of Power-Trains for Road Electric Vehicles." In Applied Condition Monitoring, 249–58. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14532-7_26.

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Wang, LiPing. "GPRS-Based Electric Power Remote Monitoring System." In Communications in Computer and Information Science, 359–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19853-3_52.

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Modak, Renuka, Vikramsinh Doke, Sayali Kawrkar, and Nikhil B. Sardar. "Wireless Battery Monitoring System for Electric Vehicle." In Cybernetics, Cognition and Machine Learning Applications, 239–47. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6691-6_27.

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Conference papers on the topic "Electric monitoring"

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Brandstetter, Pavel, Jan Vanek, and Tomas Verner. "Electric vehicle energy consumption monitoring." In 2014 15th International Scientific Conference on Electric Power Engineering (EPE). IEEE, 2014. http://dx.doi.org/10.1109/epe.2014.6839444.

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Merzouki, R., M. A. Djeziri, and B. Ould-Bouamama. "Intelligent monitoring of electric vehicle." In 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). IEEE, 2009. http://dx.doi.org/10.1109/aim.2009.5229914.

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Ji, Yang, Johann Bals, and Sio-Iong Ao. "Health Monitoring for the Electrical Network of More Electric Aircraft." In IAENG TRANSACTIONS ON ENGINEERING TECHNOLOGIES: Volume 4: Special Edition of the World Congress on Engineering and Computer Science-2009. AIP, 2010. http://dx.doi.org/10.1063/1.3460257.

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Munteanu, Adrian, Maricel Adam, Mihai Andrusca, Alin Dragomir, and Marian Bogdan Micu. "Aspects regarding the Monitoring of Electrical Equipment from Electric Traction." In 2018 International Conference and Exposition on Electrical And Power Engineering (EPE). IEEE, 2018. http://dx.doi.org/10.1109/icepe.2018.8559648.

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Moss, Scott, Jeremy Skippen, Michael Konak, Ian Powlesland, and Steve Galea. "Detachable acoustic electric feedthrough." In SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, edited by Masayoshi Tomizuka. SPIE, 2010. http://dx.doi.org/10.1117/12.848901.

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Das, Bhaba Privo. "ETEL Smart Distribution Transformer for Electric Vehicle Applications." In 2018 Condition Monitoring and Diagnosis (CMD). IEEE, 2018. http://dx.doi.org/10.1109/cmd.2018.8535795.

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Kurbatsky, Victor, and Nikita Tomin. "Intelligent monitoring in electric power system." In 2010 IEEE International Conference on Sustainable Energy Technologies (ICSET). IEEE, 2010. http://dx.doi.org/10.1109/icset.2010.5684409.

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Perisoara, Lucian Andrei, Dragos Loan Sacaleanu, and Alexandru Vasile. "Instrument clusters for monitoring electric vehicles." In 2017 IEEE 23rd International Symposium for Design and Technology in Electronic Packaging (SIITME). IEEE, 2017. http://dx.doi.org/10.1109/siitme.2017.8259931.

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Yang, Jiajun. "Electric power safety intelligent monitoring device." In XVI INTERNATIONAL CONFERENCE ON LUMINESCENCE AND LASER PHYSICS DEVOTED TO THE 100TH ANNIVERSARY OF IRKUTSK STATE UNIVERSITY. Author(s), 2019. http://dx.doi.org/10.1063/1.5089060.

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Aguiari, Davide, Ka Seng Chou, Rita Tse, and Giovanni Pau. "Monitoring Electric Vehicles on The Go." In 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC). IEEE, 2022. http://dx.doi.org/10.1109/ccnc49033.2022.9700713.

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Reports on the topic "Electric monitoring"

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Castleberry, K. N. Distributed monitoring system for electric-motor-driven compressors. Office of Scientific and Technical Information (OSTI), January 1996. http://dx.doi.org/10.2172/230261.

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Alphenaar, Bruce. Wireless Sensor Network for Electric Transmission Line Monitoring. Office of Scientific and Technical Information (OSTI), June 2009. http://dx.doi.org/10.2172/1004093.

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Villaran, M., R. Lofaro, and na. Condition Monitoring of Cables Task 3 Report: Condition Monitoring Techniques for Electric Cables. Office of Scientific and Technical Information (OSTI), November 2009. http://dx.doi.org/10.2172/1013436.

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Phadke, A. G., and J. S. Thorp. Monitoring and simulating real-time electric power system operation with phasor measurements. Office of Scientific and Technical Information (OSTI), January 1995. http://dx.doi.org/10.2172/10125609.

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Nowak, D. A one-wire'' battery monitoring system with applications to on-board charging for electric vehicles. Office of Scientific and Technical Information (OSTI), October 1990. http://dx.doi.org/10.2172/6281988.

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Lofaro, R., E. Grove, M. Villaran, P. Soo, and F. Hsu. Assessment of Environmental Qualification Practices and Condition Monitoring Techniques for Low-Voltage Electric Cables: LOCA Test Results. Office of Scientific and Technical Information (OSTI), February 2001. http://dx.doi.org/10.2172/1329393.

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Armstrong, P. R., and G. B. Parker. Electric load monitoring to support a shared energy savings procurement at the US Maritime Administration Merchant Marine Academy. Office of Scientific and Technical Information (OSTI), June 1992. http://dx.doi.org/10.2172/10159437.

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Armstrong, P. R., and G. B. Parker. Electric load monitoring to support a shared energy savings procurement at the US Maritime Administration Merchant Marine Academy. Office of Scientific and Technical Information (OSTI), June 1992. http://dx.doi.org/10.2172/5137708.

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ALTOMONTE, Sergio, Flávia BUKZEM, Rafael CAMPAMÀ PIZARRO, Donatienne CARMON, Giovanni CIAMPI, Ayana DANTAS DE MEDEIROS, Veronica GARCIA-HANSEN, et al. Integrating daylighting and lighting in practice: Lessons learned from international case studies. IEA SHC Task 61, June 2021. http://dx.doi.org/10.18777/ieashc-task61-2021-0007.

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Abstract:
This report presents lessons learned from twenty-five worldwide real-life case studies implementing the integration of daylighting and electric lighting. The case studies were monitored with respect to energy use for lighting, visual performance, non-visual performance, and users’ satisfaction. The monitoring is largely based on field measurements, but it is also complemented with simulations and calculations where needed.
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Perrey, Arnold G., Barry A. Bell, and Marshall J. Treado. Evaluation of electronic monitoring devices. Gaithersburg, MD: National Bureau of Standards, 1986. http://dx.doi.org/10.6028/nbs.ir.86-3501.

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