NDLI: Accelerating Dielectric Response Measurements on Power Transformers

Content Provider	IEEE Xplore Digital Library
Author	Suriyah-Jaya, M. Leibfried, T.
Copyright Year	1986
Abstract	Dielectric frequency response, also known as frequency-domain spectroscopy (FDS), was introduced about a decade ago as the preferred method to estimate the moisture content in the cellulose insulation of power transformers. A conventional FDS measurement is carried out as a frequency sweep down till 100 μHz, thus causing unavoidable large measuring time due to the very low frequency oscillations. Nevertheless, FDS is the favored choice for onsite measurements due to its robustness against noise. This contribution proposes a newly developed modification to the FDS measurement technique. In Part II, of a two-part series, we propose reducing the measuring time by measuring only a fraction of a complete oscillation. Regression techniques are then used to calculate the amplitude and phase shift of the fraction. The capacitance and dissipation factor (tanδ) are then calculated for each individual oscillation. The proposed advancement described in this part could reduce the measuring time by up to 90% compared to a conventional FDS.
Sponsorship	IEEE Power Engineering Society
Starting Page	2095
Ending Page	2100
Page Count	6
File Size	1074370
File Format	PDF
ISSN	08858977
Volume Number	29
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Frequency measurement Regression analysis Power transformers Time measurement Current measurement Dielectric measurement Oscillators power transformer Dielectric response analysis frequency-domain spectroscopy (FDS) high-voltage apparatus oil-paper insulation
Content Type	Text
Resource Type	Article
Subject	Energy Engineering and Power Technology Electrical and Electronic Engineering

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Accelerating Dielectric Response Measurements on Power Transformers—Part I: A Frequency-Domain Approach

On-line dielectric response measurements on oil paper insulated transformers

Adapting frequency domain spectroscopy as an online monitoring tool for the insulation of power transformers

Information within the dielectric response of power transformers for wide frequency ranges

Field experiences with measurements of dielectric response in frequency domain for power transformer diagnostics

Investigations of dielectric monitoring on an energised transformer oil–paper insulation system

Impact of temperature on the frequency domain dielectric spectroscopy for the diagnosis of power transformer insulation

Non-linear effects in dielectric response measurments on oil paper insulated power transformers

Dielectric spectroscopic measurements on transformer oil-paper insulation under controlled laboratory conditions

Accelerating Dielectric Response Measurements on Power Transformers—Part II: A Regression Approach

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Accelerating Dielectric Response Measurements on Power Transformers—Part I: A Frequency-Domain Approach

On-line dielectric response measurements on oil paper insulated transformers

Adapting frequency domain spectroscopy as an online monitoring tool for the insulation of power transformers

Information within the dielectric response of power transformers for wide frequency ranges

Field experiences with measurements of dielectric response in frequency domain for power transformer diagnostics

Investigations of dielectric monitoring on an energised transformer oil–paper insulation system

Impact of temperature on the frequency domain dielectric spectroscopy for the diagnosis of power transformer insulation

Non-linear effects in dielectric response measurments on oil paper insulated power transformers

Dielectric spectroscopic measurements on transformer oil-paper insulation under controlled laboratory conditions

Accelerating Dielectric Response Measurements on Power Transformers—Part II: A Regression Approach