Evidence map›Paper›PMID 31906202›Full record

ArticleSensors (Basel, Switzerland)2019

Research and Experiments on an External Miniaturized VFTO Measurement System.

Lizhe Wang, Wenbin Zhang, Xiangyu Tan, Weiren Chen, Shiqi Liang, Chunguang Suo

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Lizhe WangFaculty of Science, Kunming University of Science and Technology, Kunming 650504, China.ORCID 0000-0003-0114-2660
Wenbin ZhangFaculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650504, China.
Xiangyu TanElectric Power Research Institute, Yunnan Power Grid Co., Ltd., Kunming 650217, China.
Weiren ChenFaculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650504, China.
Shiqi LiangFaculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650504, China.
Chunguang SuoFaculty of Science, Kunming University of Science and Technology, Kunming 650504, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Disconnect switch and circuit breakers operations in gas insulated switchgear (GIS) systems may produce very fast transient overvoltage (VFTO). Detecting VFTO is the first step for researchers to reduce the damage to other equipment of the substation caused by VFTO. Most of the existing sensors used for VFTO are generally bulky, complex to install, and require modification of the GIS structure. In this paper, a miniaturized measurement system that uses capacitive voltage divider and differentiating-integrating circuit is proposed. A special sensor structure and optimized differentiating-integrating circuit components arrangement were designed to increase the bandwidth of the measurement system. The frequency-domain, time-domain and voltage divide calibration experiment was performed, and a comparison experiment with an internal VFTO sensor was conducted. The measurement system was applied in the 500 kV GIS substation, and the VFTO measurement under specific conditions was carried out. The measured time domain and frequency domain waveforms conformed to the definition of standard VFTO according to IEC 60,071. It was found that the proposed measurement system meets VFTO measurement requirements and can be applied to actual VFTO measurements.

Indexed as

capacitive voltage dividerdifferentiating–integrating systemfield measurementmeasurement systemvery fast transient overvoltage (VFTO)

Identifiers

PMID31906202
PMCPMC6982737

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.