Relevant bibliographies by topics / Swept Frequency Response Analysis (SFRA)

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Academic literature on the topic 'Swept Frequency Response Analysis (SFRA)'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 September 2023

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Journal articles on the topic "Swept Frequency Response Analysis (SFRA)"

1

Yoon, Yeunggurl, Yongju Son, Jintae Cho, SuHyeong Jang, Young-Geun Kim, and Sungyun Choi. "High-Frequency Modeling of a Three-Winding Power Transformer Using Sweep Frequency Response Analysis." Energies 14, no. 13 (2021): 4009. http://dx.doi.org/10.3390/en14134009.

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A power transformer is an essential device for stable and reliable power transfer to customers. Therefore, accurate modeling of transformers is required for simulation-based analysis with the model. The paper proposes an efficient and straightforward parameter estimation of power transformers based on sweep frequency response analysis (SFRA) test data. The method first develops a transformer model consisting of repetitive RLC sections and mutual inductances and then aligns the simulated SFRA curve with the measured one by adjusting parameters. Note that this adjustment is based on individual parameter impacts on the SFRA curve. After aligning the two curves, the final transformer model can be obtained. In this paper, actual single-phase, three-winding transformer model parameters were estimated based on field SFRA data, showing that SFRA curves simulated from the estimated model are consistent with the measured data.
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2

Yasid, Nurul Farahwahida Md, A. A. Alawady, M. F. M. Yousof, S. Al-Ameri, and M. S. Kamarudin. "Interpretation of sweep frequency response analysis traces on inter-turn short circuit fault." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 1 (2020): 309. http://dx.doi.org/10.11591/ijpeds.v11.i1.pp309-316.

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Sweep frequency response analysis (SFRA) is a reliable method for detection and diagnosis of faults in the active part of transformers. However, although SFRA is widely employed, the interpretation of SFRA signature is still a challenge and require experts to analyse them. This is due to lack of guideline and standard for SFRA signature interpretation and clarification. This paper presents the interpretation of SFRA signature by classification and quantification on inter-turn short circuit fault on the transformer winding. The short-circuited turns fault on HV winding phase “A” was practically simulated on three different units of three-phase transformers. The results of simulated fault are presented and discussed. A conclusion was drawn which provides the interpretation of the SFRA response due to inter-turn short circuit fault case by using a statistical indicator which is NCEPRI algorithm.
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3

Ibrahim, Khalid H., Nourhan R. Korany, and Saber M. Saleh. "Effects of VA Rating on the Fault Diagnosis of Power Transformer Using SFRA Test." European Journal of Electrical Engineering 23, no. 5 (2021): 381–89. http://dx.doi.org/10.18280/ejee.230504.

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The electric power transformer is an essential part of an electrical power system since it is used to step up or down voltage levels to maintain the system performance as well as possible. Frequency response analysis (FRA) is one of the most widely used techniques for detecting various types of mechanical damage in transformers. The equivalent circuit of the transformer will be represented by a complex network of R, L, and C elements in the FRA technique. For transformer faults diagnosis, various calculation techniques and diagnostic techniques may be used, such as acoustic emission analysis, thermal images of electromagnetic radiation, transformer temperature, and humidity analysis. SFRA test is one of these techniques that could be used to determine the fault type based on its response over a wide frequency range. The main challenge of the SFRA test is that the functional interpretation requirement for this test is not universally accepted Also statistical features are defined for this SFRA response to be used in fault detection and classification. In this paper, the effect of the transformer rating on the fault diagnosis techniques using SFRA is tested. Also, the effect of the transformer VA rating on the statistical parameters and the classification rules of fault diagnosis is discussed. Finally, the features used in fault diagnosis are ranked according to its independence of the transformer rating resulting in a more accurate matching fault diagnosis technique.
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4

Bucci, Giovanni, Fabrizio Ciancetta, Andrea Fioravanti, Edoardo Fiorucci, Simone Mari, and Andrea Silvestri. "Online SFRA for Reliability of Power Systems: Characterization of a Batch of Healthy and Damaged Induction Motors for Predictive Maintenance." Sensors 23, no. 5 (2023): 2583. http://dx.doi.org/10.3390/s23052583.

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Asynchronous motors represent a large percentage of motors used in the electrical industry. Suitable predictive maintenance techniques are strongly required when these motors are critical in their operations. Continuous non-invasive monitoring techniques can be investigated to avoid the disconnection of the motors under test and service interruption. This paper proposes an innovative predictive monitoring system based on the online sweep frequency response analysis (SFRA) technique. The testing system applies variable frequency sinusoidal signals to the motors and then acquires and processes the applied and response signals in the frequency domain. In the literature, SFRA has been applied to power transformers and electric motors switched off and disconnected from the main grid. The approach described in this work is innovative. Coupling circuits allow for the injection and acquisition of the signals, while grids feed the motors. A comparison between the transfer functions (TFs) of healthy motors and those with slight damage was performed with a batch of 1.5 kW, four-pole induction motors to investigate the technique’s performance. The results show that the online SFRA could be of interest for monitoring induction motors’ health conditions, especially for mission-critical and safety-critical applications. The overall cost of the whole testing system, including the coupling filters and cables, is less than EUR 400.
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5

Ghani, Sharin Ab, Yasmin Hanum Md Thayoob, Young Zaidey Yang Ghazali, Mohd Shahril Ahmad Khiar, and Imran Sutan Chairul. "Condition Monitoring of Distribution Transformer's Mechanical Parts Using Sweep Frequency Response Analysis (SFRA)." Procedia Engineering 68 (2013): 469–76. http://dx.doi.org/10.1016/j.proeng.2013.12.208.

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6

Gutten, Miroslav, Daniel Korenciak, Matej Kucera, Richard Janura, Adam Glowacz, and Eliasz Kantoch. "Frequency and time fault diagnosis methods of power transformers." Measurement Science Review 18, no. 4 (2018): 162–67. http://dx.doi.org/10.1515/msr-2018-0023.

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Abstract The authors describe experimental and theoretical analyses of faults of power transformer winding. Faults were caused by mechanical effect of short-circuit currents. Measurements of transformer were carried out in high-voltage laboratory. Frequency and time diagnostic methods (method SFRA - Sweep Frequency Response Analysis, impact test) were used for the analyses. Coils of transformer windings were diagnosed by means of the SFRA method and the time impact test. The analyzed methods had a significant sensitivity to a relatively small deformation of coil. In the analysis a new technique for analyzing the effects of short-circuit currents is introduced. This technique is developed for high-voltage transformers (different types of power). The proposed analyses show that it is necessary to analyze the value of short-circuit current. Short-circuit current represents a danger for the operation of the power transformer. The proposed approach can be used for other types of transformers. Moreover, the presented techniques have a potential application for fault diagnosis of electrical equipment such as: transformers and electrical machines.
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7

Gojiya, Mayur V., and Dr Ketan P. Badgujar. "Effect of Test Cable Termination on Frequency Response of Transformer Winding." International Journal of Electrical and Electronics Research 11, no. 1 (2023): 162–68. http://dx.doi.org/10.37391/ijeer.110123.

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Sweep Frequency Response Analysis (SFRA) method is the most powerful tool to predict the condition of transformer winding. The reliable measurement of frequency response is equally important as its interpretation. A few standards (IEEE std. C57.149-2012, IEC 60076, the Chinese Electrical Power Industry Standard ICS27.100.F24-2005) & much research work have been published, stating dos & don’ts while measuring the frequency response of transformer winding. In this paper, an attempt is made to introduce an additional factor affecting frequency response, while doing measurements. Here, the effect of test cable termination at transformer winding terminals, to prevent signal reflection, on frequency response is presented. A possible way to select suitable value/s of terminating resistance that can correct frequency response is also proposed.
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8

Lewandowski, Kamil, and Hubert Morańda. "Analysis of possibility of shorted coil localization in power transformer on the basis of its frequency response (SFRA)." ITM Web of Conferences 28 (2019): 01029. http://dx.doi.org/10.1051/itmconf/20192801029.

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The article presents the results of transformer investigation using SFRA method. The 630 kVA unit with the Dyn5 connection system were investigated. The characteristics of the frequency response for the transformer without defect and with the shorted turns implemented defect were presented and analyzed. The shorted turns was performed in various parts of the HV transformer’s winding in order to check the possibility of localization of this defect. The measurements were carried out in four different ways: measurement of the frequency response of the tested winding with shorted and on free potential line terminals of the remaining windings, and inter-winding measurement − inductive and capacitive. Based on the obtained results, the influence of the shorted turns location in the transformer on its frequency response was evaluated.
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9

Secue, Janneth Rocio, Enrique E. Mombello, and Carlos V. Cardoso. "Review of Sweep Frequency Response Analysis -SFRA for Assessment Winding Displacements and Deformation in Power Transformers." IEEE Latin America Transactions 5, no. 5 (2007): 321–28. http://dx.doi.org/10.1109/tla.2007.4378524.

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10

Secue, J. R., and E. Mombello. "Sweep frequency response analysis (SFRA) for the assessment of winding displacements and deformation in power transformers." Electric Power Systems Research 78, no. 6 (2008): 1119–28. http://dx.doi.org/10.1016/j.epsr.2007.08.005.

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