Curve Fitting for Lightning Impulse Tests According to Standard IEC 60060-1:2010 by Levenberg-Marquardt Algorithm

Ludpa, Savinee; Yutthagowith, Peerawut

doi:10.1109/aupec.2018.8757872

Cited by 1 publication

(1 citation statement)

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“…The correlation method determines whether an association exists between i n (t) and i f (t) and if it exists to predict what extent. Secondly, if the winding responses are related to each other, the testing engineer can get an idea of what kind of relationship (linear or non-linear) would describe the relationship of the winding responses [16,17,[22][23][24][25]. In this paper, the time delay information can be directly related to causality relations between responses.…”

Section: Degree Of Correlation Between the Responsesmentioning

confidence: 99%

Statistical correlation technique for transient signal analysis during impulse testing of transformers

Garg

Sharma

Jain

et al. 2020

IET sci. meas. technol.

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The reliable technique for identification of winding insulation faults in a transformer is necessary for a testing engineer during impulse test. In this study, a statistical correlation technique is proposed to estimate the ‘best correlation’ between transient signals for passed (withstood the impulse voltage) or failed (not withstood) conditions of the insulations. In this study, normalised reduced impulse voltage is considered initially as a reference signal. The next successive impulse test sequences due to rated test voltage are correlated as a test signal with a reference signal using a proposed technique. It makes a ‘good correlation value along with its directions’ between the reference signal and test signal based on measured the applied impulse voltage waveshape and its winding response. The fundamentals of the correlation coefficient, curve fitting techniques, conditional variance, normalisation and time delay index are integrated effectively to predict the characteristics (degree/magnitude and direction) of correlation between the signals. 2.5‐MVA 11/0.433 kV (distribution transformer), 0.3‐MVA 34.5/0.415 kV (earthing transformer) and 250‐MVA 500/275/33 kV (power transformer) are effectively utilised to validate proposed technique. The advantage of the proposed technique is validated with partial discharge detection in windings due to an impulse voltage application using an 11 kV single‐layer winding.

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Section: Degree Of Correlation Between the Responsesmentioning

confidence: 99%