Sawtooth-Based FDS for Rapid and Accurate Testing of Transformer Oil-Paper Insulation

Frequency domain spectroscopy (FDS) is a common nondestructive test method for insulation diagnosis of a transformer. Rapid and accurate testing can help improve the efficiency of FDS. However, the long test duration of conventional FDS and the unsatisfactory accuracy of existing accelerated FDS met...

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Bibliographic Details
Published in:IEEE transactions on industrial electronics (1982) 2024-06, Vol.71 (6), p.1-10
Main Authors: Mao, Xinyang, Zhang, Yiyi, Zhang, Xingtuo, Zhong, Wenbo
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Dielectric dissipation factor
Dielectric loss
dielectric response
Dielectrics
frequency domain spectroscopy (FDS)
Harmonic analysis
Insulation
Interpolation
Nondestructive testing
Oil insulation
oil–paper insulation measurement
power transformer
Power transformer insulation
Regression analysis
Testing
Transformers
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Summary:Frequency domain spectroscopy (FDS) is a common nondestructive test method for insulation diagnosis of a transformer. Rapid and accurate testing can help improve the efficiency of FDS. However, the long test duration of conventional FDS and the unsatisfactory accuracy of existing accelerated FDS methods limit the application of insulation conditions of transformers. To tackle these problems, a new testing method named sFDS is proposed, aiming to achieve rapid and accurate testing. The proposed sFDS consists of two main parts to achieve the goal: first, the test duration is reduced by using sawtooth and regression analysis. Second, to ensure test accuracy, a multidomain signal accurate processing technique is proposed. Specifically, first, a filtering algorithm is used to isolate the noise. Second, the phase correction is used to improve the precision of time-frequency conversion. Third, the line interpolation method is utilized to accurately extract spectral data to compute dielectric loss and complex capacitance. To verify the practicality of sFDS, an sFDS test platform is built and compared with existing accelerated FDS techniques through practical experiments. The results indicate that sFDS performs superiorly in rapidity and accuracy. Meanwhile, sFDS has the potential to become a general method for evaluating more electrical objects.
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2023.3294643