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Journal articles on the topic 'Power transformer maintenance'

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1

Yao, Feng, Zhong Hui Zhang, and Le Zhang He. "Comprehensive Assessment of Power Transformer Condition Based on the Fault Tree and the Analytic Hierarchy Process." Advanced Materials Research 805-806 (September 2013): 793–800. http://dx.doi.org/10.4028/www.scientific.net/amr.805-806.793.

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Transformers state comprehensive assessment to provide the basis for the repair and maintenance of power transformers .Based on the fault tree analysis (FTA) to find out the impact of the failure of the power transformer factors, and the establishment of the index system to assess the state of the power transformer, application 3 scale analytic hierarchy process assessment model for the establishment of the state of the transformer , and thus the transformer state is divided into five levels. Through the classification of the more conducive to the staff to understand the transformer condition,
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2

Liang, Zhenglin, and Ajith Parlikad. "A Markovian model for power transformer maintenance." International Journal of Electrical Power & Energy Systems 99 (July 2018): 175–82. http://dx.doi.org/10.1016/j.ijepes.2017.12.024.

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3

He, Xuan Hu, and Ming Chao Xia. "Research on State Intelligent Maintenance Based on Sonic Information of Power Transformers." Advanced Materials Research 383-390 (November 2011): 1250–55. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.1250.

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The advantages and disadvantages of various power transformer fault detection methods are analyzed. According to the different sonic information of power transformers under different operation conditions, a new method for the power transformer fault detection based on sonic information is introduced. The overall structure of this method and the principle of intelligent maintenance are described. Preliminary operations proved that the method is feasible.
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4

E. Gouda, Osama, Saber M. Saleh, and Salah Hamdy El-hoshy. "Power Transformer Incipient Faults Diagnosis Based on Dissolved Gas Analysis." Indonesian Journal of Electrical Engineering and Computer Science 1, no. 1 (2016): 10. http://dx.doi.org/10.11591/ijeecs.v1.i1.pp10-16.

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Incipient fault diagnosis of a power transformer is greatly influenced by the condition assessment of its insulation system oil and/or paper insulation. Dissolved gas-in-oil analysis (DGA) is one of the most powerfull techniques for the detection of incipient fault condition within oil-immersed transformers. The transformer data has been analyzed using key gases, Doernenburg, Roger, IEC and Duval triangle techniques. This paper introduce a MATLAB program to help in unification DGA interpretation techniques to investigate the accuracy of these techniques in interpreting the transformer conditio
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E. Gouda, Osama, Saber M. Saleh, and Salah Hamdy EL-Hoshy. "Power Transformer Incipient Faults Diagnosis Based on Dissolved Gas Analysis." TELKOMNIKA Indonesian Journal of Electrical Engineering 16, no. 3 (2015): 409. http://dx.doi.org/10.11591/tijee.v16i3.1630.

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Incipient fault diagnosis of a power transformer is greatly influenced by the condition assessment of its insulation system oil and/or paper insulation. Dissolved gas-in-oil analysis (DGA) is one of the most powerfull techniques for the detection of incipient fault condition within oil-immersed transformers. The transformer data has been analyzed using key gases, Doernenburg, Roger, IEC and Duval triangle techniques. This paper introduce a MATLAB program to help in unification DGA interpretation techniques to investigate the accuracy of these techniques in interpreting the transformer conditio
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6

Sihite, Josep Franklin, and Takehisa Kohda. "Power Transformers Condition Assessment of GI Simangkuk Switchyard Sumatra Interconnection in Indonesia." Advanced Materials Research 452-453 (January 2012): 975–79. http://dx.doi.org/10.4028/www.scientific.net/amr.452-453.975.

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The electricity needs of Indonesia grow an average 10% each year. Therefore, PLN (Perusahaan Listrik Negara) as the only power utility business in Indonesia, has a master plan to develop new power plant, switchyard and transmission system. One of the new developed systems is GI Simangkuk switchyard of Sumatra interconnection system. This switchyard is prepared to improve reliability of Sumatra interconnection system. This site utilizes power transformers of 275 kV. Power transformer is one of the main equipments in power systems. When a failure occurs in a power transformer, the whole system w
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7

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 r
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8

Bustamante, Sergio, Mario Manana, Alberto Arroyo, Alberto Laso, and Raquel Martinez. "Determination of Transformer Oil Contamination from the OLTC Gases in the Power Transformers of a Distribution System Operator." Applied Sciences 10, no. 24 (2020): 8897. http://dx.doi.org/10.3390/app10248897.

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Power transformers are considered to be the most important assets in power substations. Thus, their maintenance is important to ensure the reliability of the power transmission and distribution system. One of the most commonly used methods for managing the maintenance and establishing the health status of power transformers is dissolved gas analysis (DGA). The presence of acetylene in the DGA results may indicate arcing or high-temperature thermal faults in the transformer. In old transformers with an on-load tap-changer (OLTC), oil or gases can be filtered from the OLTC compartment to the tra
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9

Mharakurwa, Edwell T., G. N. Nyakoe, and A. O. Akumu. "Power Transformer Fault Severity Estimation Based on Dissolved Gas Analysis and Energy of Fault Formation Technique." Journal of Electrical and Computer Engineering 2019 (February 3, 2019): 1–10. http://dx.doi.org/10.1155/2019/9674054.

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Decision making on transformer insulation condition based on the evaluated incipient faults and aging stresses has been the norm for many asset managers. Despite being the extensively applied methodology in power transformer incipient fault detection, solely dissolved gas analysis (DGA) techniques cannot quantify the detected fault severity. Fault severity is the core property in transformer maintenance rankings. This paper presents a fuzzy logic methodology in determining transformer faults and severity through use of energy of fault formation of the evolved gasses during transformer faulting
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10

Hernandez, Maria Del Pilar Colin, and Ashraf Labib. "Selecting a condition monitoring system for enhancing effectiveness of power transformer maintenance." Journal of Quality in Maintenance Engineering 23, no. 4 (2017): 400–414. http://dx.doi.org/10.1108/jqme-07-2015-0027.

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Purpose The purpose of this paper is to propose a model for assisting in the decision-making process for acquiring a condition monitoring (CM) system for an oil-immersed power transformer in order to improve its maintainability. Design/methodology/approach The proposed model is based on the analytic hierarchy process. The assessment was performed by pairwise comparisons, and a sensitivity analysis (what-if analysis) was used to identify the implications of changing the criteria weights. In order to select the criteria and alternatives, a search was conducted for the power transformer failure m
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11

Olosunde, Akinlolu, and Rowland Benjamin Ekpo. "HALF EXPONENTIAL POWER MODEL FOR THE FIRST TIME FAILURE OF POWER DISTRIBUTION TRANSFORMERS IN NIGERIA." Indonesian Journal of Statistics and Its Applications 4, no. 2 (2020): 321–26. http://dx.doi.org/10.29244/ijsa.v4i2.640.

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Transformer failure is a major problem confronting the Nigerian power sector, hindering the transmission and distribution of electric power to various households, institutions, and industries. Many of these transformer developed problem due to the old age of the transformers, overloading, in-availability of technical expertise, poor maintenance culture, manufacturer's faults, just to mention few. The present research focuses on providing half exponential power model for the failure of already installed transformers, with respect to years of installation up to the time of the first failure, usi
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12

Cui, Qi Ming, Shu Ting Cui, Zu Yuan Guan, and Wen Tao Sun. "Expert System Based on ESTA and Guide for Condition Evaluation of Transformers." Advanced Materials Research 347-353 (October 2011): 306–9. http://dx.doi.org/10.4028/www.scientific.net/amr.347-353.306.

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Through the application research of expert system shell ESTA, We have established a transformer condition evaluation expert system(ES) based on ESTA and corporate standards of State Grid (Q/GDW 169-2008) «Guide forCondition Evaluation of Oil-immersed Power Transformers (Reactors) ». Knowledge Base consists of several sections, parameters, rules in the evaluation of state variables, components and transformers. The value of the transformer condition evaluation expert system is that it supports and enhances the operation and maintenance personnel work, guidance (less experienced) the operation a
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13

Rexhepi, Vezir, and Petar Nakov. "Condition assessment of power transformers status based on moisture level using fuzzy logic techniques." Journal of Mechatronics, Electrical Power, and Vehicular Technology 9, no. 1 (2018): 17. http://dx.doi.org/10.14203/j.mev.2018.v9.17-24.

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Power transformers are one of the most expensive components; therefore the focus on their status and its continuous operation is the primary task. In the power systems, condition assessment of performance and reliability is based on the state of components, measurements, testing and maintenance as well as their diagnosis. Hence, condition assessment of power transformer parameters is the most important regarding their status and finding incipient failures. Among many factors, the most factors that affects the safe operation and life expentancy of the transformer is the moisture in oil. It is k
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14

Liu, Chih Hsuan, Leehter Yao, Tung Bin Lin, and Shun Yuan Wang. "Innovated Fault Diagnosis for Power Transformer Using Hybrid Fuzzy Dissolved Gas Analysis." Applied Mechanics and Materials 284-287 (January 2013): 1082–86. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.1082.

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The objective of this paper is to integrate five traditional criteria of the Dissolved Gases Analysis published in different standards into a more reliable approach of the fault diagnosis of power transformer for maintenance personnel of Taiwan Power Company(TPC). This paper employs Fuzzy Inference System(FIS) to develop two factors as a integrated fault diagnosis for power transformer. One is the identifiable factor which interprets the fault type, the other is the fault factor which asseses the operating condition of transformer. The result of diagnosis can be observed by web browser on TPC
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15

Ristic, Olga, Bratislav Iricanin, and Vladica Mijailovic. "Dynamic modeling and simulation of power transformer maintenance costs." Serbian Journal of Electrical Engineering 13, no. 2 (2016): 285–99. http://dx.doi.org/10.2298/sjee1602285r.

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The paper presents the dynamic model of maintenance costs of the power transformer functional components. Reliability is modeled combining the exponential and Weibull's distribution. The simulation was performed with the aim of corrective maintenance and installation of the continuous monitoring system of the most critical components. Simulation Dynamic System (SDS) method and VENSIM PLE software was used to simulate the cost. In this way, significant savings in maintenance costs will be achieved with a small initial investment.
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16

Poonnoy, Nitchamon, Cattareeya Suwanasri, and Thanapong Suwanasri. "Fuzzy Logic Approach to Dissolved Gas Analysis for Power Transformer Failure Index and Fault Identification." Energies 14, no. 1 (2020): 36. http://dx.doi.org/10.3390/en14010036.

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This research focuses on problem identification due to faults in power transformers during operation by using dissolved gas analysis such as key gas, IEC ratio, Duval triangle techniques, and fuzzy logic approaches. Then, the condition of the power transformer is evaluated in terms of the percentage of failure index and internal fault determination. Fuzzy logic with the key gas approach was used to calculate the failure index and identify problems inside the power transformer. At the same time, the IEC three-gas ratio and Duval triangle are subsequently applied to confirm the problems in diffe
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17

Adoghe, A. U., C. O. A. Awosope, and S. A. Daramola. "Modeling Distribution Component Deterioration: An Application to Transformer Insulation." Advanced Materials Research 367 (October 2011): 117–23. http://dx.doi.org/10.4028/www.scientific.net/amr.367.117.

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The two most critical components in a typical Power System are the circuit breakers and transformers. Failure of any of these components will result in high cost due to component replacement and associated load loss. Reliability Centred Maintenance (RCM) may reduce this cost in the long run by extending the component lifetime and increasing availability. This will be possible, since the adopted RCM will balance carrying out too much maintenance which will increase maintenance cost or too little maintenance that will result in catastrophic failure and hence increases the cost of maintenance and
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18

Levin, Vladimir M., and Ammar A. Yahya. "Adaptive management of technical condition of power transformers." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 4 (2020): 3862. http://dx.doi.org/10.11591/ijece.v10i4.pp3862-3868.

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Ensuring reliable operation of power transformers as part of electric power facilities is assigned to the maintenance and repair system, whose important components are diagnostics and monitoring of the technical condition. Monitoring allows you to answer the question of whether the transformer abnormalities and how to do they manifest, while diagnostics allow determining the nature, the severity of the problem, determine the cause and possible consequences. The article presents the results of the authors ' research on creating an algorithm for adaptive control of the technical condition of pow
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19

Behjat, Vahid, Reza Emadifar, Mehrdad Pourhossein, U. Mohan Rao, Issouf Fofana, and Reza Najjar. "Improved Monitoring and Diagnosis of Transformer Solid Insulation Using Pertinent Chemical Indicators." Energies 14, no. 13 (2021): 3977. http://dx.doi.org/10.3390/en14133977.

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Transformers are generally considered to be the costliest assets in a power network. The lifetime of a transformer is mainly attributable to the condition of its solid insulation, which in turn is measured and described according to the degree of polymerization (DP) of the cellulose. Since the determination of the DP index is complex and time-consuming and requires the transformer to be taken out of service, utilities prefer indirect and non-invasive methods of determining the DP based on the byproduct of cellulose aging. This paper analyzes solid insulation degradation by measuring the furan
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20

Cao, Yong Xing, Xing Shen, Qian Peng, Fan Liu, Xiao Hu Yan, and Hai Long Zhang. "Study on Power Transformer Fault Risk Assessment Method." Applied Mechanics and Materials 433-435 (October 2013): 691–99. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.691.

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Based on more than three hundred transformer accidents and some statistics data related, this paper manages to draw a standard classification table of transformer failure. 5 degrees of failure possibilities are classified in the paper: extremely high, high, general, low, extremely low. Besides, 4 major factors that affects risk of transformer failure severity are studied: direct lossmonitoring levelmaintenance cost and maintenance period. Also, failure severity of each risk source are classified into 5 levels: not serious, mild, ordinary, less serious, and serious, and Extensional Analytic Hie
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21

Bustamante, Sergio, Mario Manana, Alberto Arroyo, Raquel Martinez, and Alberto Laso. "A Methodology for the Calculation of Typical Gas Concentration Values and Sampling Intervals in the Power Transformers of a Distribution System Operator." Energies 13, no. 22 (2020): 5891. http://dx.doi.org/10.3390/en13225891.

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Predictive maintenance strategies in power transformers aim to assess the risk through the calculation and monitoring of the health index of the power transformers. The parameter most used in predictive maintenance and to calculate the health index of power transformers is the dissolved gas analysis (DGA). The current tendency is the use of online DGA monitoring equipment while continuing to perform analyses in the laboratory. Although the DGA is well known, there is a lack of published experimental data beyond that in the guides. This study used the nearest-rank method for obtaining the typic
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22

Tian, Fenglan, Zhongzhao Jing, Huan Zhao, Enze Zhang, and Jiefeng Liu. "A Synthetic Condition Assessment Model for Power Transformers Using the Fuzzy Evidence Fusion Method." Energies 12, no. 5 (2019): 857. http://dx.doi.org/10.3390/en12050857.

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Condition-based maintenance decision-making of transformers is essential to electric enterprises for avoiding financial losses. However, precise transformer condition assessment was tough to accomplish because of the negligence of the influence of bushing and accessories, the difficulty of fuzzy grade division, and the lack of reasonable fuzzy evidence fusion method. To solve these problems, a transformer assessing model was proposed in the paper. At first, an index assessing system, considering the main body, the bushing and the accessories components, was established on the basis of componen
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23

Kong, Jin Jiao, Feng Wang, Yong Liang Li, Xu Tao Wu, and Jian Gang Bi. "Review of Condition Assessment for Power Transformer." Applied Mechanics and Materials 681 (October 2014): 160–63. http://dx.doi.org/10.4028/www.scientific.net/amm.681.160.

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Transformer is one of the most important equipment in power system, and accurate condition assessment for transformer is the key for condition based maintenance (CBM). So the study of condition assessment is particularly important. In this paper, the function, role and steps of condition assessment, research status, existing problems and future directions are analyzed and summarized. And this paper can be a reference for transformer’s condition assessment.
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Pang, Er Jun, Yu Hong, Gui Ji Tang, Kuo Gao, and Yuan Yuan Hu. "The Feature Analysis for Transformer Reliability Assessment." Applied Mechanics and Materials 389 (August 2013): 1100–1105. http://dx.doi.org/10.4028/www.scientific.net/amm.389.1100.

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The power transformer is the most important equipment in the power system, so the condition-based maintenance of the transformer has an important significance for the safe and stable operation of the power grid, and condition assessment provides an important basis for the condition-based maintenance. In this paper, the calculation principle of the reliability assessment method is analyzed, and the contribution of each feature value is calculated. It has an important guiding significance for the Power Supply Bureau to provide the condition assessment data, the data with a contribution of large
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Duran Tovar, Ivan Camilo, Laura Sofia Rosero Zuñiga, Andrés Pavas Martínez, and Oscar Germán Duarte Velasco. "Comparison of maintenance scheme effects on power transformer reliability performance." Ingeniería e Investigación 35, no. 1Sup (2015): 73–81. http://dx.doi.org/10.15446/ing.investig.v35n1sup.53435.

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<span style="font-family: OptimaLTStd; font-size: 9pt; color: #231f20; font-style: normal; font-variant: normal;">Power transformer failures have a significant impact on electrical systems reliability, as they compromise the electricity delivery. Failures <span style="font-family: OptimaLTStd; font-size: 9pt; color: #231f20; font-style: normal; font-variant: normal;">impact the operational cost of electric utilities as they endanger the accomplishment of power commitments. Power transformer <span style="font-family: OptimaLTStd; font-size: 9pt; color: #231f20; font-style: normal
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26

Lv, Sen, Biao Li, and Huan Li. "Development and Present Situation Analysis of Power Transformer State Maintenance." IOP Conference Series: Earth and Environmental Science 113 (February 2018): 012037. http://dx.doi.org/10.1088/1755-1315/113/1/012037.

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27

Martinez-Monseco, Francisco Javier. "An approach to a practical optimization of reliability centered maintenance. Case study: power transformer in hydro power plant." Journal of Applied Research in Technology & Engineering 1, no. 1 (2020): 37. http://dx.doi.org/10.4995/jarte.2020.13740.

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<p>Any industrial organization has to analyse the maintenance strategy that it is applying to ensure the maximum efficiency of the system. This includes to define the maintenance policy, a well-analysed maintenance plan, and correct maintenance management and operational procedures. The maintenance department in most industrial organizations has to be continuously justifying the costs associated with their activities to avoid the continuous cuts requested by management based on the economic business plan for asset management. This paper presents the bases of the reliability centered main
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Mbembati, Hadija, Kwame Ibwe, and Baraka Maiseli. "Maintenance Automation Architecture and Electrical Equipment Fault Prediction Method in Tanzania Secondary Distribution Networks." Tanzania Journal of Science 47, no. 3 (2021): 1138–53. http://dx.doi.org/10.4314/tjs.v47i3.23.

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Distribution networks remain the most maintenance-intensive parts of power systems. The implementation of maintenance automation and prediction of equipment fault can enhance system reliability while reducing the overall costs. In Tanzania, however, maintenance automation has not been deployed in secondary distribution networks (SDNs). Instead, traditional methods are used for condition prediction and fault identification of power assets (transformers and power lines). These (manual) methods are costly and time-consuming, and may introduce human-related errors. Motivated by these challenges, t
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Milosavljevic, Srdjan, and Aleksandar Janjic. "Power transformer health index estimation using evidential reasoning." Facta universitatis - series: Electronics and Energetics 33, no. 4 (2020): 571–81. http://dx.doi.org/10.2298/fuee2004571m.

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Market-oriented power distribution system requires a well-planned budget with scheduled preventive and corrective maintenance during a replacement of units that are in an unsatisfactory condition. In recent years, the concept of the transformer health index as an integral part of resource management was adopted for the condition assessment and ranking of ETs. However, because of the lack of regular measurement and inspections, the confidence in health index value is greatly reduced. The paper proposes a novel methodology for the ET condition assessment and the lifetime increase through the est
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30

Ariyani, Sofia. "Analisis Dissolved Gas Analysis Dan Klasifikasi Tipe Fault Pada Minyak Trafo Dengan Metode Naive Bayes Classifier Pada Transformator Daya 150 kV." Jurnal Teknik Elektro dan Komputasi (ELKOM) 1, no. 1 (2019): 36–45. http://dx.doi.org/10.32528/elkom.v1i1.2181.

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Transformers are very important in electric power systems as well as in industry, therefore preventive maintenance is very necessary. One such treatment is the treatment of transformer oil. DGA (is an analysis of dissolved gas in transformer insulation oil and is one form of treatment for transformer insulation oil). In this final project, we will discuss how to analyze transformer oil data from DGA test and fault type classification using the naive bayes classifier method. The data from the transformer oil test with the DGA will later be classified which are then analyzed using Naive Bayes cl
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31

Amrita, A. A. N., W. G. Ariastina, and I. B. G. Manuaba. "Study of Transformer Lifetime Due to Loading Process on 20 KV Distribution Line." Journal of Electrical, Electronics and Informatics 2, no. 2 (2018): 25. http://dx.doi.org/10.24843/jeei.2018.v02.i02.p01.

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Power transformer is very important in electric power system due to its function to raise or lower the voltage according to its designation. On the power side, the power transformer serves to raise voltage to be transmitted to the transmission line. On the transmission side, the power transformer serves to distribute the voltage between the main substations or down to the distribution voltage. On the distribution side, the stresses are channeled to large customers or lowered to serve small and medium customers. As the power transformer is so importance, it is necessary to protect against distu
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32

Tong, Liu. "Research on Intelligent Online Monitoring and Evaluation of Power Transformer." Open Electrical & Electronic Engineering Journal 9, no. 1 (2015): 483–89. http://dx.doi.org/10.2174/1874129001509010483.

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Transformer is the power equipment of power system core. Intelligent monitoring and operation of transformer can not only monitor the full range of the transformer, the realization of state evaluation, it should be required repair, maintenance required good, but also on the latent fault early diagnosis and prediction. Research on transformer intelligent monitoring and operating technology of safe operation of power system and the substation has great significant and impoertance. According to the theory and method of transformer intelligent, combined with intelligent transformer on-line monitor
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33

Akiyoshi, Daniele F., Bruno A. de Castro, José V. F. Leão, et al. "Evaluation of Low Cost Piezoelectric Sensors for the Identification of Partial Discharges Evolution." Proceedings 4, no. 1 (2018): 36. http://dx.doi.org/10.3390/ecsa-5-05722.

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Transformers are essential equipment in electrical energy systems and their failure may lead to the loss of a power supply. Both industry and science have sought to develop sensors and low-cost solutions for the correct diagnosis of their failures. Thus, the use of piezoelectric sensors in the diagnosis of partial discharge in power transformers has been growing significantly, in order to ensure the reduction of maintenance costs, as well as the quality of electric power supply, since this type of failure can lead to a significant cost of repair. In many cases, when partial discharge is detect
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34

Alves da Silva, Alexandre P., Christian Ducharme, and Vitor H. Ferreira. "Transformer Fleet Optimal Maintenance with Risk Considerations." Electric Power Components and Systems 47, no. 16-17 (2019): 1551–61. http://dx.doi.org/10.1080/15325008.2019.1661546.

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35

Hindarianto, Jepi Yuli. "Analysis Of Power Quality Effect On The Life Time Transformer." ACMIT Proceedings 5, no. 1 (2019): 57–64. http://dx.doi.org/10.33555/acmit.v5i1.75.

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In the industry that runs today, of course, electricity cannot be separated from the electricity used for all production processes. In Indonesia, currently PT. PLN (Persero) (PLN) is the only one of electrical energy provider for the medium and larger scale of industry. The electricity power for industry is usually supplied by 20 kV distribution grid. Meanwhile, industrial utilities, equipment and machinery mostly require lower voltage. Therefore, it is necessary to step down the voltage of the PLN distribution grid from 20 kV to 2 kV, 1 kV, 400 Volt or lower by using step down transformer. St
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36

Gong, Renxi, Siqiang Li, and Weiyu Peng. "Research on Multi-Attribute Decision-Making in Condition-Based Maintenance for Power Transformers Based on Cloud and Kernel Vector Space Models." Energies 13, no. 22 (2020): 5948. http://dx.doi.org/10.3390/en13225948.

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Decision-making for the condition-based maintenance (CBM) of power transformers is critical to their sustainable operation. Existing research exhibits significant shortcomings; neither group decision-making nor maintenance intention is considered, which does not satisfy the needs of smart grids. Thus, a multivariate assessment system, which includes the consideration of technology, cost-effectiveness, and security, should be created, taking into account current research findings. In order to address the uncertainty of maintenance strategy selection, this paper proposes a maintenance decision-m
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37

Wang, Si Yu. "Residual Life Assessment of Power Transformer Based on Random Fuzzy Theory." Advanced Materials Research 1070-1072 (December 2014): 1127–32. http://dx.doi.org/10.4028/www.scientific.net/amr.1070-1072.1127.

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Both the cost-effective operation of power systems and reliable operation are inextricably linked with the transformer life assessment. This paper analyzes the composition of the transformer life, life assessment factors and existing assessment methods. Based on factors of the current life assessment and problems of assessment methods, the paper analyzed the importance significance of uncertainty in the transformer life assessment and proposed the transformer remaining life assessment model, and methods based the random fuzzy theory. Assessment results can provide the basis for the transformer
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38

Wang, Gang, Ji Xin Chen, and Ning Wang. "The Research and Application of Standard Modular all Insulation Transformer Station." Applied Mechanics and Materials 602-605 (August 2014): 2943–48. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.2943.

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In the power distribution network , transformer station is the most common device, which is related with the power supply security , the landscaping , and has the most maintenance .It is also a large number device that realize standardized equipment very difficult . According to the original power distribution transformer station which has poor ability to withstand the natural disasters, unreliable operation, the low intelligent level, non-insulation, easy to rust, backward technology, environment is not harmonious and other problems, adopt the industrial design concept and method, developing
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Nafisi, Hamed, Mehrdad Abedi, and Gevorg B. Gharehpetian. "Locating Pd in Transformers through Detailed Model and Neural Networks." Journal of Electrical Engineering 65, no. 2 (2014): 75–82. http://dx.doi.org/10.2478/jee-2014-0011.

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Abstract In a power transformer as one of the major component in electric power networks, partial discharge (PD) is a major source of insulation failure. Therefore the accurate and high speed techniques for locating of PD sources are required regarding to repair and maintenance. In this paper an attempt has been made to introduce the novel methods based on two different artificial neural networks (ANN) for identifying PD location in the power transformers. In present report Fuzzy ARTmap and Bayesian neural networks are employed for PD locating while using detailed model (DM) for a power transf
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Kuncoro, Rohmanu Dwi. "Analisis Resetting Relay Dan Load Presentase Terhadap Pola Pelaksanaan Dan Pemeliharaan Pada Gardu Induk 150 Kv Saketi Banten." ELPOSYS: Jurnal Sistem Kelistrikan 8, no. 2 (2021): 16–22. http://dx.doi.org/10.33795/elposys.v8i2.46.

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Abstrac: The Saketi substation has three 150/70 kV power transformers with a capacity of 3x60 MVA with a frequency of 50 Hz where all three transformers have the capacity, transformer 1 60 MVA (PAUWELS TRAFO) has 3 feeders with an average load of 300 A, 10 MW, transformer 2 60 MVA (UNINDO) has 3 feeders with an average load of 200 A, 6.9 MW and transformer 3 60 MVA (UNINDO) has 4 feeders with an average load of 300 A, 10 MW. This calculation and simulation analysis is carried out aiming to find out the relay settings on each transformer under normal conditions and in a maintenance state on one
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41

Li, Anyi, Xiaohui Yang, Huanyu Dong, Zihao Xie, and Chunsheng Yang. "Machine Learning-Based Sensor Data Modeling Methods for Power Transformer PHM." Sensors 18, no. 12 (2018): 4430. http://dx.doi.org/10.3390/s18124430.

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An emerging prognostic and health management (PHM) technology has recently attracted a great deal of attention from academies, industries, and governments. The need for higher equipment availability and lower maintenance cost is driving the development and integration of prognostic and health management systems. PHM models depend on the smart sensors and data generated from sensors. This paper proposed a machine learning-based methods for developing PHM models from sensor data to perform fault diagnostic for transformer systems in a smart grid. In particular, we apply the Cuckoo Search (CS) al
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42

Liang, Hai Feng, and De Shan Lin. "Research on the Transformer Condition Assessment Based on the Entropy Weight Method." Advanced Materials Research 732-733 (August 2013): 930–35. http://dx.doi.org/10.4028/www.scientific.net/amr.732-733.930.

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As one of the important hinge equipments in the electric power system, the operating reliability of power transformer has deep influences on security and stability of power system. In order to guide transformer maintenance and assess the risk of the electric power system, it is of important significance to know the state of the running insulation of transformer in time and accurately. Based on the analysis of transformer state parameters, the method determining the evaluation index weight has been studied; methods of entropy value objective weight and improved analytic hierarchy process subjec
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Phadungthin, Rattanakorn, and Juthathip Haema. "Proposed Risk Model of Maintenance Management for Power Transformer in Transmission System." International Review of Electrical Engineering (IREE) 11, no. 1 (2016): 88. http://dx.doi.org/10.15866/iree.v11i1.7703.

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Murugan, Raji, and Raju Ramasamy. "Failure analysis of power transformer for effective maintenance planning in electric utilities." Engineering Failure Analysis 55 (September 2015): 182–92. http://dx.doi.org/10.1016/j.engfailanal.2015.06.002.

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45

Zareian Jahromi, Mehdi, M. Hossein Mehrabanjahromi, Mohsen Tajdinian, and Mehdi Allahbakhshi. "A Novel method to estimate Economic Replacing Time of Transformer Using Monte Carlo Algorithm and ANN." IIUM Engineering Journal 19, no. 2 (2018): 54–67. http://dx.doi.org/10.31436/iiumej.v19i2.793.

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A hybrid method for developing a more principled approach is presented to determine the life expectancy of transformers. The approach is constructed on an economic analysis of the transformers operational characteristics in combination  with the technical issues incorporated in the decision process. In this method, firstly life time of transformer is estimated using a hybrid method based on Monte Carlo algorithm and artificial neural network. Also Pareto distribution function is applied to consider health history of transformer and uncertainty in DP behavior of transformer. In the next step,
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46

Sousa, Antonio Roniel Marques de, Marcus Vinicius Alves Nunes, Wellington da Silva Fonseca, Ramon Cristian Fernandes Araujo, and Diorge de Souza Lima. "Magneto-Thermo-Structural Analysis of Power Transformers under Inrush and Short Circuit Conditions." Energies 14, no. 11 (2021): 3266. http://dx.doi.org/10.3390/en14113266.

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The main equipment responsible for connection and transmission of electric power from generating centers to consumers are power transformers. This type of equipment is subject to various types of faults that can affect its components, in some cases also compromising its operation and, consequently, the electric power supply. Thus, in this paper, electromagnetic, thermal, and structural analysis of power transformers was carried out with the objective of providing the operator with information on the ideal moment for performing predictive maintenance, avoiding unplanned shutdowns. For this, com
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Duyo, Rizal, and Andi Sulkifli. "ANALISIS JARINGAN DAN PEMELIHARAAN PADA JARINGAN DISTRIBUSI DI PT.PLN WILAYAH CABANG PINRANG." VERTEX ELEKTRO 1, no. 2 (2019): 1–11. http://dx.doi.org/10.26618/jte.v1i2.2379.

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Abstract— Used in electrical energy distribution effort to the community. Know the factors that affect the capacity of power distribution transformers for 3 phase and 1 phase and to know system maintenance performed on the distribution network and transformer at. PLN ( Persero ) Branch Pinrang .All data that is required in this study was obtained through several instruments such as surveys or direct observation , interviews , and a review of literature used to complement and meet the required data. All data were collected and analyzed using descriptive analysis . These results prove that the d
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Cazacu, Emil, Lucian Petrescu, and Maria-Cătălina Petrescu. "THE MAJOR PREDICTIVE MAINTENANCE ACTIONS OF THE ELECTRIC EQUIPMENTS IN THE INDUSTRIAL FACILITIES." Scientific Bulletin of Electrical Engineering Faculty 18, no. 1 (2018): 26–33. http://dx.doi.org/10.1515/sbeef-2017-0018.

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Abstract In modern low-voltage electrical installations, the predictive maintenance of the major electrical equipments involved in the power delivery process (transformers) or in the conversion of the electrical energy (especially electric motors) becomes mandatory. Thus, a high level of reliability and safety is assured for both the electric facility and operators. The proactive maintenance is to be non-invasively performed and mainly requires an infrared (IR) thermographic inspection and power quality analysis of the installation loads. A vibration investigation is also necessary for the mot
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Lifer, M. A., and A. V. Konstantinov. "Power transformer oil recovery by antioxidant at SUEK-Khakassia." Mining informational and analytical bulletin, S64 (October 20, 2018): 145–54. http://dx.doi.org/10.25018/0236-1493-2018-12-64-145-154.

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The article discusses application of a procedure for recovery of operating processing of switch oil in 35-110 kV power transformers at objects of power supply at SUEK-Khakassia by using antioxidant Agidol. Details of process circuit, Agidol mechanisms, involved equipment maintenance, operational safety and economic efficiency of the procedure introduction in framework of implementation of basic engineering solutions are given. Entrance of oxidation inhibitor Agidol in switch oil greatly improves chemical protection of 35/110 kV power transformers from ageing and extends their operating life. T
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Bustamante, Sergio, Mario Manana, Alberto Arroyo, Pablo Castro, Alberto Laso, and Raquel Martinez. "Dissolved Gas Analysis Equipment for Online Monitoring of Transformer Oil: A Review." Sensors 19, no. 19 (2019): 4057. http://dx.doi.org/10.3390/s19194057.

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Power transformers are the most important assets of electric power substations. The reliability in the operation of electric power transmission and distribution is due to the correct operation and maintenance of power transformers. The parameters that are most used to assess the health status of power transformers are dissolved gas analysis (DGA), oil quality analysis (OQA) and content of furfuraldehydes (FFA) in oil. The parameter that currently allows for simple online monitoring in an energized transformer is the DGA. Although most of the DGA continues to be done in the laboratory, the tren
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