Evidence map›Paper›PMID 32070039›Full record

ArticleMolecules (Basel, Switzerland)2020

Analysis of Pollution in High Voltage Insulators via Laser-Induced Breakdown Spectroscopy.

Xinwei Wang, Shan Lu, Tianzheng Wang, Xinran Qin, Xilin Wang, Zhidong Jia

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.7field-weighted citation impact, top 20% of its field
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

0 citing papers in PubMed, 18 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Xinwei WangShanxi Electric Power Research Institute, Taiyuan 030000, China.
Shan LuShanxi Electric Power Research Institute, Taiyuan 030000, China.
Tianzheng WangShanxi Electric Power Research Institute, Taiyuan 030000, China.
Xinran QinEngineering laboratory of power equipment reliability in complicated coastal environments, Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China.
Xilin WangEngineering laboratory of power equipment reliability in complicated coastal environments, Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China.
Zhidong JiaEngineering laboratory of power equipment reliability in complicated coastal environments, Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China.

Funding

National Natural Science Foundation of China 51607101Science and technology projects of Shanxi Electric Power Research Institute SGSXDK00SPJS1900162
6 · The paper itself

Abstract

Surface pollution deposition in a high voltage surface can reduce the surface flashover voltage, which is considered to be a serious accident in the transmission of electric power for the high conductivity of pollution in wet weather, such as rain or fog. Accordingly, a rapid and accurate online pollution detection method is of great importance for monitoring the safe status of transmission lines. Usually, to detect the equivalent salt deposit density (ESDD) and non-soluble deposit density (NSDD), the pollution should be collected when power cut off and bring back to lab, time-consuming, low accuracy and unable to meet the online detection. Laser-induced breakdown spectroscopy (LIBS) shows the highest potential for achieving online pollution detection, but its application in high voltage electrical engineering has only just begun to be examined. In this study, a LIBS method for quantitatively detecting the compositions of pollutions on the insulators was investigated, and the spectral characteristics of a natural pollution sample were examined. The energy spectra and LIBS analysis results were compared. LIBS was shown to detect pollution elements that were not detected by conventional energy spectroscopy and had an improved capacity to determine pollution composition. Furthermore, the effects of parameters, such as laser energy intensity and delay time, were investigated for artificial pollutions. Increasing the laser energy intensity and selecting a suitable delay time could enhance the precision and relative spectral intensities of the elements. Additionally, reducing the particle size and increasing the density achieved the same results.

Indexed as

LasersEnvironmental PollutionSpectrum Analysishigh voltage insulatorslaser-induced breakdown spectroscopyquantitatively analysissurface pollution

Identifiers

PMID32070039
PMCPMC7070365
OpenAlexW3005746995

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.