2018
DOI: 10.1109/tie.2017.2719618
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Model, Design, and Testing of Field Mill Sensors for Measuring Electric Fields Under High-Voltage Direct-Current Power Lines

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Cited by 69 publications
(43 citation statements)
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“…The induced current is measured to derive electric field strength. The above methods have to use the metal antennas or probes to induce the electric field [8,9]. The metallic structures are susceptible to electromagnetic noise and can only measure EMF at a single point.…”
Section: Introductionmentioning
confidence: 99%
“…The induced current is measured to derive electric field strength. The above methods have to use the metal antennas or probes to induce the electric field [8,9]. The metallic structures are susceptible to electromagnetic noise and can only measure EMF at a single point.…”
Section: Introductionmentioning
confidence: 99%
“…It should also be remarked that in addition to RH, the strength of the wind also plays a role in the distribution of the electric field. This was shown in [18,19], which demonstrates the use of FMs to measure the electric field underneath a HVDC line. This adds a further complication to the process of relating observed FM voltage to actual voltage on the busbar.…”
Section: Relationship Between Instantaneous Time Constant Rh Ah Andmentioning
confidence: 89%
“…An inductive electrostatic sensor should be placed in a non-stationary electric field in order to obtain an output signal of some kind from the sensor. When the charge is static and the electric field remains constant, a time-varying electric field is usually produced by means of mechanical modulators such as rotating vanes of electric field mills [6] and micromachined resonators of MEMS (Micro-Electro-Mechanical System) electric field sensors [7]. In practice, the physical process to be monitored usually involves some movement of a charged object that creates a varying electric field, which eliminates the need for mechanical modulators and simplifies the sensing system.…”
Section: Signal Conditioning Circuitsmentioning
confidence: 99%