Inductive coupling method for on-line frequency response analysis (FRA) for transformer winding diagnostic

Rathnayaka, Sooriya Bandara; See, Kye Yak; Prajapati, Manish; Li, Kangrong; Narampanawe, Nishshanka Bandara; Fan, Fei

doi:10.1109/tencon.2017.8227842

Cited by 5 publications

(3 citation statements)

References 9 publications

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“…As for all methods, it suffer of some disadvantages: (i) while simulation-based methods require detailed geometrical and material information, the measurement-based inductive coupling method may not always require this information, however, the availability of such detailed data can be a limitation due to intellectual property protection; (ii) similar to its application in power transfer, the inductive coupling method for impedance estimation may be sensitive to the mutual position and distance of the components involved, requiring careful setup and design considerations; (iii) the effectiveness of the inductive coupling method for impedance estimation may vary based on the specific application, and the measurement setups can be classified into single-probe setup, two-probe setup, and multi-probe setup, each with its own considerations and limitations. In summary, the inductive coupling method for impedance estimation offers the advantages of rapid impedance extraction and enhanced electrical safety, but it may require careful setup, be sensitive to component positioning, and have limitations based on the specific application [20][21][22][23][24][25].…”

Section: State Of the Art Overviewmentioning

confidence: 99%

Real‐time monitoring and ageing detection algorithm design with application on SiC‐based automotive power drive system

Dini,

Basso,

Saponara

et al. 2024

IET Power Electronics

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The article describes an innovative methodology for the design and experimental validation of monitoring and anomaly detection algorithms, with a particular focus on the aging phenomenon, linked to the anomalous modification of the , in devices switching in power electronic systems integrated into modern high‐performance electrified vehicles. The case study concerns an electric drive for fully electrified vehicles, in which a three‐phase axial flux synchronous motor integrated into a wheel motor (Elaphe) is used and in which a high‐efficiency three‐phase inverter, designed with SiC technology (silicon carbide). The article proposes the design and validation of the innovative aging monitoring and detection system, in four consecutive phases. The first phase involves the creation of a real‐time model of electric drive, validated through experimental data extrapolated directly during a WLTP (Worldwide Harmonized Light Vehicle Test Procedure) test. The second phase consists of the creation of a virtual dataset representative of the aging phenomenon, via an anomaly injection procedure, emulating this phenomenon with a scaling factor (depending on the value of the ) on the current phase of the motor, relating to the inverter branch whose SiC device is affected. The third phase concerns the design of an estimator of the , based on an ANN (Artificial Neural Network) regression model, and involves a data manipulation phase with features extraction and reduction techniques. The fourth and final phase, involves the experimental validation of the method, through PIL (Processor‐In‐the‐Loop) tests, integrating the monitoring algorithm (consisting of a real‐time model and AI‐based regression model) on the NXPs32k144 embedded platform (based on Cortex‐M4), making the algorithm interact with the electric drive model on which anomaly injection is applied.

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Section: State Of the Art Overviewmentioning

confidence: 99%

Real‐time monitoring and ageing detection algorithm design with application on SiC‐based automotive power drive system

Dini,

Basso,

Saponara

et al. 2024

IET Power Electronics

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show abstract

“…Thus, online diagnostic techniques have recently been developed. A variety of online diagnostic methods have been proposed, and a majority of them can be viewed as extensions of offline diagnostic methods, such as online SCI analysis [12][13][14][15], online FRA, and online TF analysis [16][17][18][19][20][21][22][23][24]. The vibration analysis of oil tanks has received considerable attention because their vibration behaviour is closely related to the mechanical conditions of the windings and cores, and can be used for online monitoring [25][26][27].…”

Section: Introductionmentioning

confidence: 99%

“…More importantly, there is no tap on many 35 kV bushings and bushings with lower‐rated voltages, but the deformation in 35 kV windings is dominant. Behjat et al proposed a non‐invasive capacitive sensor [NICS, also referred to as a bushing capacitive coupling sensor (CCS)], consisting of a metal band installed on the surface of a bushing to inject an excitation voltage into live windings or measure the response signal in their high‐voltage terminals [18–21]. However, installing a metal band on the surface of the bushing can help deduce the surface insulation distance of the bushing, and its effect can be deduced from the shielding of the grounding capacitor screen of the high‐voltage bushings.…”

Section: Introductionmentioning

confidence: 99%

Proposed methodology for online frequency response analysis based on magnetic coupling to detect winding deformations in transformers

Cheng

Chang

et al. 2020

High Voltage

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Frequency response analysis is widely used as a method for the offline diagnosis of winding deformations in power transformers. To apply it to a working transformer, people need to determine how to inject the excitation signal and measure the response signal for windings that bear a rated voltage and current. In this study, a method to obtain the frequency response curve online is proposed. It uses the principle of magnetic field coupling to inject a frequency sweep signal into the windings through a Rogowski coil. Another Rogowski coil sensor placed at the root of a high-voltage bushing is used to measure the response current signal. Experiments on a 72.5 kV bushing show that metal accessories of the bushing have no influence on the injection or the measurement. The feasibility of this method was verified by experiments on charged 110/35/10 kV transformers at a factory and a working 35 kV transformer in a power station. The results show that it is safe to install the Rogowski coil at the root of the high-voltage bushing. The excitation signal can be injected into live windings and the response signal is measurable. Strong electromagnetic power frequency noise can be reduced and the frequency response curve can be measured online.

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The Influence of External Parameters on Transformer Frequency Response Signature and Numerical Indices

Nurmanova

Khassenov

Bagheri

et al. 2019

2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Syst

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Inductive coupling method for on-line frequency response analysis (FRA) for transformer winding diagnostic

Cited by 5 publications

References 9 publications

Real‐time monitoring and ageing detection algorithm design with application on SiC‐based automotive power drive system

Real‐time monitoring and ageing detection algorithm design with application on SiC‐based automotive power drive system

Proposed methodology for online frequency response analysis based on magnetic coupling to detect winding deformations in transformers

The Influence of External Parameters on Transformer Frequency Response Signature and Numerical Indices

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