Academic literature on the topic 'Transformer monitoring'

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Journal articles on the topic "Transformer monitoring"

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Bansod, Pooja M., and Dinesh V. Rojatkar. "Transformer Parameter Monitoring and Controlling." International Journal of Trend in Scientific Research and Development Volume-1, Issue-6 (October 31, 2017): 812–14. http://dx.doi.org/10.31142/ijtsrd4632.

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Jaković, Tihomir, Ivan Murat, Filip Klarić, and Samir Keitoue. "Transformer Fleet Monitoring." Procedia Engineering 202 (2017): 20–28. http://dx.doi.org/10.1016/j.proeng.2017.09.691.

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Wu, H. "All eyes on transformers [super grid transformer remote monitoring]." Power Engineer 18, no. 5 (2004): 32. http://dx.doi.org/10.1049/pe:20040506.

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Angeline, P. M. Sneha. "Performance Monitoring of Transformer Parameters." IJIREEICE 3, no. 8 (August 15, 2015): 49–51. http://dx.doi.org/10.17148/ijireeice.2015.3811.

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Kovacevic, Dragan, Slobodan Skundric, and Jelena Lukic. "Monitoring and diagnostics of power transformer insulation." Thermal Science 10, no. 4 (2006): 43–54. http://dx.doi.org/10.2298/tsci0604043k.

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Liberalization of the energy market drives utilities to a more cost-effective power system. Power transformers are the most complex, important, and critical components of the transition and distribution power systems. Insulation system is the key component of life extension, better availability and higher reliability of a transformer. In order to achieve both decreasing operational cost and reliable service condition-based maintenance is needed. Monitoring and diagnostics methods and techniques, for insulation condition assessment of power transformers, are described. Date base and knowledge rules diagnostics management system, in internet oriented environment, is outlined. .
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Ottele, Andy, and Rahmat Shoureshi. "Neural Network-Based Adaptive Monitoring System for Power Transformer." Journal of Dynamic Systems, Measurement, and Control 123, no. 3 (February 11, 1999): 512–17. http://dx.doi.org/10.1115/1.1387248.

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Power transformers are major elements of the electric power transmission and distribution infrastructure. Transformer failure has severe economical impacts from the utility industry and customers. This paper presents analysis, design, development, and experimental evaluation of a robust failure diagnostic technique. Hopfield neural networks are used to identify variations in physical parameters of the system in a systematic way, and adapt the transformer model based on the state of the system. In addition, the Hopfield network is used to design an observer which provides accurate estimates of the internal states of the transformer that can not be accessed or measured during operation. Analytical and experimental results of this adaptive observer for power transformer diagnostics are presented.
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Liu, Li Peng, Yong Li Zhu, and Guo Qiang Wang. "Transformer Winding on-Line Monitoring and Diagnosis Using Current Source Method." Applied Mechanics and Materials 291-294 (February 2013): 2272–77. http://dx.doi.org/10.4028/www.scientific.net/amm.291-294.2272.

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Transformer winding deformation is a main type of transformer fault. The Frequency Response Analysis is a effective method to detect transformer winding deformation. Based on the traditional Frequency Response Method, the current source method is a new way to detect winding deformation. This method adopts the current source as sweep frequency source and uses the current frequency response curve to judge winding deformation. The simulation shows that the current source method is feasible. For some special transformers, this method can realize transformer winding on-line monitoring and diagnosis.
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Zhang, Wei Cong, Zheng Wu Dai, Wen Xiang Zhang, and Ji Zhang. "Research on Transformer Monitoring System Based on Vibrational Spectroscopy." Advanced Materials Research 765-767 (September 2013): 2238–41. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.2238.

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Power transformers vibration principle was analyzed, using vibration spectroscopy, design and development of a power transformer online monitoring system, through the transformer vibration monitoring, to indirectly infer the DC magnetic bias circumstances, Realized condition monitoring of Substation. This paper describes the system works, the constituent modules and the corresponding indicator characteristics, proposed monitoring algorithm optimization, Given the interface of real-time monitoring data, historical data, system was running good, stable and reliable.
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Liu, Wei Jia, Xin Wang, Yi Hui Zheng, Li Xue Li, and Qing Shan Xu. "The Assessment of the Overload Capacity of Transformer Based on the Temperature Reverse Extrapolation Method." Advanced Materials Research 860-863 (December 2013): 2153–56. http://dx.doi.org/10.4028/www.scientific.net/amr.860-863.2153.

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The assessment of the overload capacity of transformer has a certain practical significance. In this paper, a temperature reverse extrapolation method is proposed to assess the overload capacity of transformer. Firstly, the top oil temperature is monitored by the online monitoring system. Secondly, the temperature distribution model and the calculation methods of hot spot temperature in the PTP7 (Power Transformers. Part 7: Loading guide for oil-immersed power transformers) guide are analyzed. Then, a new method called temperature reverse extrapolation which can calculate the overload factor of transformer is composed. And based on the overload factor, two meaningful data about overload capacity are obtained. Finally, an assessment system of transformer overload capacity based on the online monitoring is developed.
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Ahmed, Aneel, Atif Saeed, and Mohammad Shan. "Real Time Condition Monitoring of Transformer." International Journal of Electronics and Electrical Engineering 6, no. 4 (2018): 71–75. http://dx.doi.org/10.18178/ijeee.6.4.71-75.

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Dissertations / Theses on the topic "Transformer monitoring"

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Karlsson, Svante. "Power Transformer Monitoring and Diagnosis using Transformer Explorer." Thesis, Uppsala universitet, Institutionen för teknikvetenskaper, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-280958.

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Power transformers are one of the most expensive and vital components in the power system. A sudden failure could be a very costly process for both the transformer owner and the society. Several monitoring and diagnostic techniques have been developed over the last decades to detect incipient transformer problems at an early stage, so that planned outages for maintenance and reparation can be carried out in time. However, the majority of these methods are only secondary indicators which do not address the transformers fundamental function: to transfer electric energy between different voltage levels with turn ratio, short-circuit impedance and power loss within acceptable limits. Transformer Explorer is a concept developed by ABB which utilizes ordinary current and voltage signals available in the substation to extract transformer fundamental parameters such as: turn ratio, magnetizing current, impedance and power loss, which has significant diagnostic value. By estimating these parameters the method should be able to detect a number of problems related to the windings and the magnetic circuit of the transformer. Transformer Explorer is expected to find it's application in two different versions, either as an permanent on-line monitoring and diagnostic tool or as a short-time version for temporary measurements. The thesis could be divided into three main parts. The first one focusing on a quantitative study trying to answer questions regarding the concepts feasibility when the temporary version is used. The second part is about optimizing and improving the procedure by which the fundamental parameters are estimated. In the last part, a new method for reducing the impact of errors introduced by the acquisition system on the estimated power loss is proposed. All the investigations related to the three topics covered in this thesis showed interesting and promising results.
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Zandberg, Hermanus Andries Jakobus. "Wireless transformer condition monitoring system." Thesis, Cape Peninsula University of Technology, 2013. http://hdl.handle.net/20.500.11838/1186.

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The Department of Electrical Engineering in fulfilment of the requirements for the Magister Technologiae in Electrical Engineering at the Cape Peninsula University of Technology November 2013
Pole mounted transformers (PMT) in rural areas present an opportunity for local utilities to do current monitoring on these systems. These transformers are exposed to abnormal amounts of stress due to the vast power demand in these areas. The aim of this study is to develop a more cost-effective condition monitoring system. Transformer current monitoring can be a dangerous practice if not done by suitably trained utility electricians. Hence this study is partly aimed at the elimination of hazardous working environments associated with manual electrical measurements. An investigation to determine a safe and cost-effective way to obtain the electrical measurements required from PMTs is undertaken. Although current measurements can be done with a current clamp-on meter, these measurements still take place at the phases of the transformer and are unsafe. The possibility of implementing wireless data gathering on current clamp-on meters is therefore investigated. This is made possible by a wireless sensor node (WSN) which gathers information and transmits it wirelessly to a WSN base station. This wireless solution is battery powered, necessitating battery replacements, therefore leading to the investigation of magnetic fields, magnetic materials and magnetic induction. A current clamp able to generate a high voltage (HV) output with minimal magnetic field strength is developed. The magnetic fields produced by the transformer’s phase cables are used to generate an alternating voltage. With the help of a microcontroller and an energy harvesting circuit, this voltage is converted and used to charge supercapacitors. The magnetic fields are also used to determine the current flow in the transformer phase cables when the device is not in energy harvesting mode. The device will then undergo comprehensive laboratory testing to determine its accuracy and durability, and is then used to do ‘real life’ current measurements, the results of which are compared against an off-the-shelf current monitoring device.
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Lavery, Grant. "A prototype transformer insulation condition monitoring system." Thesis, University of Canterbury. Electrical and Electronic Engineering, 1999. http://hdl.handle.net/10092/6037.

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A prototype data acquisition and processing system is developed for evaluating the insulation condition of a power transformer winding in real-time. The Transformer Insulation Condition Monitoring System (TICMS) evaluates the insulation condition by calculating the winding transadmittance function. The winding transadmittance function is used to fingerprint the insulation system and provides a means of monitoring its condition. The use of a transfer function for evaluating the insulation condition of a power transformer winding was proposed by Malewski and Poulin in 1988 [6, Chapter 1]. The work described in this thesis extends their work in a number of important areas and makes the following contributions to the state-of-the-art. Firstly, the TICMS is able to calculate the transadmittance function to 3MHz, which is sufficient to detect breakdown between individual turns in an Extra High Voltage (EHV) transformer. This is a key distinguishing feature of this work and is important as faults between individual turns can quickly snowball into a catastrophic failure. Previous attempts have been successful at determining the transadmittance function to around 1.5MHz, which only allows breakdown between discs to be detected in an EHV transformer. Second, the TICMS is able to determine the transadmittance function on-line and in real-time for a fully energised transformer. This is another key distinguishing feature of this work as it allows action to be taken to remove a faulty transformer from service prior to catastrophic failure. Previous attempts have calculated the transadmittance function in an offline situation over a period of minutes using pre-recorded data. Recent advances in analog-to-digital converter (ADC) technology and the availability of high speed Digital Signal Processors (DSPs) have made it possible to extend the work of Malewski and Poulin as described above. This thesis describes the key design features of the TICMS which provide it with the ability to determine the transadmittance function over a 3MHz bandwidth in real-time. These features include the application of an excitation with tailored spectral characteristics, a novel transducer arrangement that allows the effective dynamic range of the digitizer to be extended and at the same time online measurements to be performed, a first-in-first-out (FIFO) memory arrangement that allows the high speed data acquisition section to easily interlace to the data processing section, and a powerful 32-bit floating point Digital Signal Processor (DSP) that enables the trans admittance function to be determined in real-time. The graphical user interlace to the laboratory prototype is also presented. Also described are the signal processing techniques, both applied and developed, that are used by the TICMS to determine the trans admittance function in real-time. These include the deconvolution of the voltage and current channel transducer output signals, a radix-2 decimation-in-time (DIT) fast Fourier transform (FFT) algorithm that transforms the voltage and current channel inputs into the frequency domain simultaneously, the calculation of the transadmittance function magnitude and phase from the recorded transients, and a zooming algorithm that is used to accurately determine pole height. The transadmittance function of a 7.5kVA 11kV/230V distribution transformer is determined and compared with that obtained by performing a time consuming sweep frequency test. Artificial faults are inserted into a 2nd 7.5kVA 11kV/230V distribution transformer to establish relationships between the location and size of a fault and the corresponding changes in the transadmittance function. Sets of tests are conducted to evaluate the effect of fault size, fault location, the introduction of simulated partial discharges, and single turn faults. The ability of the system to detect single turn faults is a key feature as this allows faults to be detected before they can snowball into catastrophic failures. The effect of temperature on the location and height of poles in the transadmittance function of a 7.5kVA 11kV/220V distribution transformer is established through the use of the TICMS. On-line testing of an energised transformer is performed to evaluate the effect of supply voltage magnitude, load current magnitude, and the point in the 50Hz AC cycle when the insulation test is initiated. This information allows the system to compare successive transadmittance functions and generate an alarm signal if insulation condition degradation is found to have taken place. This information will allow the system to eventually become a 'black box' that permanently sits beside a transformer continuously evaluating insulation condition.
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Archer, Dale S. "An adaptive thermal module for transformer monitoring." Thesis, Massachusetts Institute of Technology, 1988. http://hdl.handle.net/1721.1/11992.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1988.
Includes bibliographical references (leaves 132-133).
by Dale S. Archer.
M.S.
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Mouayad, Lama. "Monitoring of transformer oil using microdielectric sensors." Thesis, Massachusetts Institute of Technology, 1985. http://hdl.handle.net/1721.1/39497.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1985.
MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING.
Includes bibliographical references.
by Lama Mouayad.
M.S.
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Guo, Dongsheng. "Power transformer condition monitoring with partial discharge measurement." Thesis, Glasgow Caledonian University, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.443183.

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Zaretsky, Mark Carmeron. "Parameter estimation using microdielectrometry with application to transformer monitoring." Thesis, Massachusetts Institute of Technology, 1987. http://hdl.handle.net/1721.1/14722.

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Boyd, Mary Jane. "Intelligent on-line transformer monitoring, diagnostics, and decision making." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/9953.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.
Includes bibliographical references (p. [231]-235).
by Mary Jane Boyd.
Ph.D.
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Liu, Jing. "Industrial Mobile Application Design and Development : Transformer Monitoring Mobile Application." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-208526.

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This thesis shows how mobile communication and information technology can be used on power industry domain. More specifically, the goal of this thesis is to design and develop a software concept demonstrator that gives operators a better possibility to check the status on ABB high voltage products, utilizing mobile devices, such as mobile phones and tablets. At the beginning of this thesis, user study and information gathering was conducted at ABB Corporate Research Center, Västerås, Sweden and VB Energi, Ludvika, Sweden. According to the result of interview with both transformer monitoring experts and operators, a preliminary use case of the concept demonstrator was defined. By using evolutionary prototyping, the use case was continuously refined and rewritten, and user interface was designed in from sketches to high-fidelity prototype. Finally, a fully functional prototype, which used as software concept demonstrator, was implemented on Android mobile phone platform and evaluated by both experts in ABB and end users in VB Energi.The result of this thesis illustrates the current state-of-the art technologies on mobile device can be used in power industry to help the operators and engineers with their daily work. Usability, accuracy, interactivity are the most significant characters for this kind of industrial used software
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Edwards, Laura E. (Laura Elaine). "Optimization of data storage for the adaptive transformer monitoring system." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/12770.

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Thesis (B.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1992.
Includes bibliographical references (leaves 150-151).
by Laura E. Edwards.
B.S.
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Books on the topic "Transformer monitoring"

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Chakravorti, Sivaji, Debangshu Dey, and Biswendu Chatterjee. Recent Trends in the Condition Monitoring of Transformers. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5550-8.

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

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Tang, W. H., and Q. H. Wu. Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-052-6.

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Gashlin, Kevin. Waste reduction activities and options for an electrical utility transmission system monitoring and maintenance facility. Cincinnati, OH: U.S. Environmental Protection Agency, Risk Reduction Engineering Laboratory, 1992.

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National Seminar, Large Power Transformers - Modern Trends in Aplication, Testing, and Condition Monitoring (2002 New Delhi, India). National Seminar, Large Power Transformers - Modern Trends in Application, Testing, and Condition Monitoring, 14-15 November, 2002, New Delhi: Proceedings. Edited by Mathur G. N, Narasimhan S. L, Prasher V. K, and India. Central Board of Irrigation and Power. New Delhi: Central Board of Irrigation and Power, 2002.

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Saha, Tapan Kumar, and Prithwiraj Purkait. Transformer Ageing: Monitoring and Estimation Techniques. Wiley & Sons, Incorporated, John, 2017.

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Transformer Ageing: Monitoring and Estimation Techniques. Wiley-Interscience, 2017.

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Abu-Siada, Ahmed, ed. Power Transformer Condition Monitoring and Diagnosis. Institution of Engineering and Technology, 2018. http://dx.doi.org/10.1049/pbpo104e.

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Saha, Tapan Kumar, and Prithwiraj Purkait. Transformer Ageing: Monitoring and Estimation Techniques. Wiley & Sons, Incorporated, John, 2017.

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Power Transformer Diagnostics, Monitoring and Design Features. MDPI, 2018. http://dx.doi.org/10.3390/books978-3-03897-442-0.

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Book chapters on the topic "Transformer monitoring"

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Elzagzoug, E., and G. R. Jones. "Chromatic Analysis of High-Voltage Transformer Oils Data." In Advanced Chromatic Monitoring, 149–58. First edition. | Boca Raton : CRC Press, 2020. | Series:: CRC Press, 2020. http://dx.doi.org/10.1201/9780367815202-20.

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Sufian, A. T., E. Elzagzoug, and D. H. Smith. "Optical Chromatic Monitoring of High-Voltage Transformer Insulating Oils." In Advanced Chromatic Monitoring, 47–58. First edition. | Boca Raton : CRC Press, 2020. | Series:: CRC Press, 2020. http://dx.doi.org/10.1201/9780367815202-7.

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Auronen, Teemu, Ivan Murat, Teemu Hanninen, and Samir Keitoue. "Future Trends in Transformer Online Monitoring." In Lecture Notes in Electrical Engineering, 55–66. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5600-5_6.

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Lipinski, Piotr, Dariusz Puchala, Agnieszka Wosiak, and Liliana Byczkowska-Lipinska. "Transformer Monitoring System Taking Advantage of Hybrid Wavelet Fourier Transform." In Studies in Computational Intelligence, 31–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-78490-6_4.

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Rengaraj, R., G. R. Venkatakrishnan, Pranav Moorthy, Ravi Pratyusha, Ritika, and K. Veena. "Transformer Oil Health Monitoring Techniques—An Overview." In Advances in Intelligent Systems and Computing, 135–54. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5029-4_12.

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Chakravorti, Sivaji, Debangshu Dey, and Biswendu Chatterjee. "Introduction to Condition Monitoring of Transformer Insulation." In Power Systems, 1–26. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5550-8_1.

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Kepa, Wilson, Ashish Kr Luhach, Moses Kavi, Joseph Fisher, and Ravindra Luhach. "GSM Based Remote Distribution Transformer Condition Monitoring System." In Communications in Computer and Information Science, 59–68. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3653-0_5.

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Tang, W. H., and Q. H. Wu. "Transformer Condition Assessment Using Dissolved Gas Analysis." In Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence, 95–104. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-052-6_6.

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Petkova, Nikolina, Petar Nakov, and Valeri Mladenov. "Real Time Monitoring of Incipient Faults in Power Transformer." In Electricity Distribution, 221–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49434-9_9.

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Patel, Dharmesh, and Nilesh Chothani. "Real-Time Monitoring and Adaptive Protection of Power Transformer." In Power Systems, 173–90. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6763-6_7.

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Conference papers on the topic "Transformer monitoring"

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Pahlavanpour, B., and I. A. Roberts. "Transformer oil condition monitoring." In IEE Colloquium Transformer Life Management. IEE, 1998. http://dx.doi.org/10.1049/ic:19981010.

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Young, W. "Transformer life management - condition monitoring." In IEE Colloquium Transformer Life Management. IEE, 1998. http://dx.doi.org/10.1049/ic:19981006.

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Rusov, V., and S. Zhivodernikov. "Transformer condition monitoring." In 2008 International Conference on Condition Monitoring and Diagnosis. IEEE, 2008. http://dx.doi.org/10.1109/cmd.2008.4580453.

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Checksfield, M., and A. Westlake. "Experiences with operating and monitoring generator transformers." In IEE Colloquium Transformer Life Management. IEE, 1998. http://dx.doi.org/10.1049/ic:19981008.

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Li, Jipan, Keqiang Tian, Suliang Sun, Dong Gu, Rui Guo, Yongqiang Wang, and Jiahao Li. "Transformer Noise Monitoring System." In 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). IEEE, 2020. http://dx.doi.org/10.1109/itnec48623.2020.9085052.

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Sparling, B. "Transformer monitoring and diagnostics." In IEEE Power Engineering Society. 1999 Winter Meeting (Cat. No.99CH36233). IEEE, 1999. http://dx.doi.org/10.1109/pesw.1999.747315.

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Abeywickrama, N., T. Bengtsson, and R. Saers. "Transformer explorer: Monitoring transformer status by fundamental frequency signals." In 2016 International Conference on Condition Monitoring and Diagnosis (CMD). IEEE, 2016. http://dx.doi.org/10.1109/cmd.2016.7757843.

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Pahlavanpour, B. "Analysis of transformer oil for transformer condition monitoring." In IEE Colloquium on An Engineering Review of Liquid Insulation. IEE, 1997. http://dx.doi.org/10.1049/ic:19970012.

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Bandyopadhyay, M. N. "Condition monitoring for power transformer." In 2008 International Conference on Condition Monitoring and Diagnosis. IEEE, 2008. http://dx.doi.org/10.1109/cmd.2008.4580447.

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Rikardo, Siregar A., Cahyono B. Bambang, C. Sumaryadi, Tamsir D. Yulian, Setyowibowo E. Arief, and Solin F. Irvan Kharil. "Vibration monitoring on power transformer." In 2008 International Conference on Condition Monitoring and Diagnosis. IEEE, 2008. http://dx.doi.org/10.1109/cmd.2008.4580454.

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Reports on the topic "Transformer monitoring"

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Buric, Michael P., Paul R. Ohodnic, Kevin Chen, and Ping Lu. Optical Fiber Sensor Technology Development and Field Validation for Distribution Transformer and Other Grid Asset Health Monitoring. Office of Scientific and Technical Information (OSTI), March 2020. http://dx.doi.org/10.2172/1634092.

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Cooke, Chathan, and James Melcher. Trend Analysis : Performance Monitoring of Transformers. Office of Scientific and Technical Information (OSTI), October 1988. http://dx.doi.org/10.2172/7261402.

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Ando, Kazutaka, and Yoshio Aoki. Health Monitoring of Vehicle Structure by Using Feature Extraction Based on Wavelet Transform. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0101.

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Shyu, Haw-Jye, and Yung P. Lee. Application of the Bearing Trace, Hough Transform (BTHT) to Passive Shipping Lane Monitoring. Fort Belvoir, VA: Defense Technical Information Center, January 1998. http://dx.doi.org/10.21236/ada337380.

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Nancy J. Lybeck, Vivek Agarwal, Binh T. Pham, Heather D. Medema, and Kirk Fitzgerald. Online Monitoring Technical Basis and Analysis Framework for Large Power Transformers; Interim Report for FY 2012. Office of Scientific and Technical Information (OSTI), September 2012. http://dx.doi.org/10.2172/1057689.

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Einfield, W. Evaluation of an open-path fourier-transform infrared spectrometer for monitoring vehicle emissions over a suburban roadway intersection. Office of Scientific and Technical Information (OSTI), May 1997. http://dx.doi.org/10.2172/481515.

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Coleman, M. D., M. Ellison, and A. Toy. Differences between CEN/TS 17337:2019 and TGN M22: Stationary source emissions monitoring using portable Fourier Transform Infrared (FTIR) spectroscopy. National Physical Laboratory, July 2021. http://dx.doi.org/10.47120/npl.9216.

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S. Abdellatif, Omar, Ali Behbehani, and Mauricio Landin. Luxembourg COVID-19 Governmental Response. UN Compliance Research Group, August 2021. http://dx.doi.org/10.52008/lux0501.

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Abstract:
The UN Compliance Research Group is a global organization which specializes in monitoring the work of the United Nations (UN). Through our professional team of academics, scholars, researchers and students we aim to serve as the world's leading independent source of information on members' compliance to UN resolutions and guidelines. Our scope of activity is broad, including assessing the compliance of member states to UN resolutions and plan of actions, adherence to judgments of the International Court of Justice (ICJ), World Health Organization (WHO) guidelines and commitments made at UN pledging conferences. We’re proud to present the international community and global governments with our native research findings on states’ annual compliance with the commitments of the UN and its affiliated agencies. Our goal as world citizens is to foster a global change towards a sustainable future; one which starts with ensuring that the words of delegates are transformed into action and that UN initiatives don’t remain ink on paper. Hence, we offer policy analysis and provide advice on fostering accountability and transparency in UN governance as well as tracing the connection between the UN policy-makers and Non-governmental organizations (NGOs). Yet, we aim to adopt a neutral path and do not engage in advocacy for issues or actions taken by the UN or member states. Acting as such, for the sake of transparency. The UN Compliance Research Group dedicates all its effort to inform the public and scholars about the issues and agenda of the UN and its affiliated agencies.
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