Power substation magnetic field measurement using digital signal processing techniques

Shun Li Lu; Chin E. Lin; Ching Lien Huang; Tsung Che Lu

doi:10.1109/61.796210

Power substation magnetic field measurement using digital signal processing techniques

Shun Li Lu, Chin E. Lin, Ching Lien Huang, Tsung Che Lu

Research output: Contribution to journal › Article › peer-review

11 Citations (Scopus)

Abstract

In this paper, a method is presented for measurement of power frequency magnetic fields due to distorted sinusoidal currents in power system. The proposed method is an integral approach and consists of a multi-rate digital signal processor, an adaptive filter, and an overlap processor. In field test, actual test results are accomplished by a standard area-type measurement setup to identify and characterize magnetic fields distribution of a 69kV SF₆ -gas insulated substation (GIS) using the proposed method.

Original language	English
Pages (from-to)	1221-1227
Number of pages	7
Journal	IEEE Transactions on Power Delivery
Volume	14
Issue number	4
DOIs	https://doi.org/10.1109/61.796210
Publication status	Published - 1999 Oct

All Science Journal Classification (ASJC) codes

Energy Engineering and Power Technology
Electrical and Electronic Engineering

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10.1109/61.796210

Cite this

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abstract = "In this paper, a method is presented for measurement of power frequency magnetic fields due to distorted sinusoidal currents in power system. The proposed method is an integral approach and consists of a multi-rate digital signal processor, an adaptive filter, and an overlap processor. In field test, actual test results are accomplished by a standard area-type measurement setup to identify and characterize magnetic fields distribution of a 69kV SF6 -gas insulated substation (GIS) using the proposed method.",

author = "Lu, {Shun Li} and Lin, {Chin E.} and Huang, {Ching Lien} and Lu, {Tsung Che}",

year = "1999",

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Power substation magnetic field measurement using digital signal processing techniques

Abstract

All Science Journal Classification (ASJC) codes

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