Evidence map›Paper›PMID 38793905›Full record

ArticleSensors (Basel, Switzerland)2024

Research on a Corrosion Detection Method for Oil Tank Bottoms Based on Acoustic Emission Technology.

Weixing Hua, Yan Chen, Xiang Zhao, Jiping Yang, Han Chen, Zhaojie Wu, Gang Fang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

7 authors.

Weixing HuaDepartment Petr Oil & Lubricants, Army Logistics Academy, Chongqing 401331, China.ORCID 0000-0003-1662-3520
Yan ChenDepartment Petr Oil & Lubricants, Army Logistics Academy, Chongqing 401331, China.
Xiang ZhaoDepartment Petr Oil & Lubricants, Army Logistics Academy, Chongqing 401331, China.
Jiping YangChongqing Ceprei Industrial Technology Research Institute Co., Ltd., Chongqing 401332, China.
Han ChenDepartment Petr Oil & Lubricants, Army Logistics Academy, Chongqing 401331, China.
Zhaojie WuDepartment Petr Oil & Lubricants, Army Logistics Academy, Chongqing 401331, China.
Gang FangDepartment Petr Oil & Lubricants, Army Logistics Academy, Chongqing 401331, China.

Funding

National Natural Science Foundation of China 52272338Science and Technology Research Program of Chongqing Municipal Education Com-mission KJQN202312908Science and Technology Research Program of Chongqing Municipal Education Com-mission KJZD-M202212903
6 · The paper itself

Abstract

This paper presents an acoustic emission (AE) detection method for refined oil storage tanks which is aimed towards specialized places such as oil storage tanks with high explosion-proof requirements, such as cave oil tanks and buried oil tanks. The method utilizes an explosion-proof acoustic emission instrument to detect the floor of a refined oil storage tank. By calculating the time difference between the defective acoustic signal and the speed of acoustic wave transmission, a mathematical model is constructed to analyze the detected signals. An independent channel AE detection system is designed, which can store the collected data in a piece of independent explosion-proof equipment, and can analyze and process the data in a safe area after the detection, solving the problems of a short signal acquisition distance and the weak safety protection applied to traditional AE instruments. A location analysis of the AE sources is conducted on the bottom plate of the tank, evaluating its corrosion condition accurately. The consistency between the evaluation and subsequent open-tank tests confirms that using AE technology effectively captures corrosion signals from oil storage tanks' bottoms. The feasibility of carrying out online inspection under the condition of oil storage in vertical steel oil tanks was verified through a comparison with open inspections, which provided a guide for determining the inspection target and opening order of large-scale oil tanks.

Indexed as

acoustic emission (AE)corrosiondetectionoil storage tank

Identifiers

PMID38793905
PMCPMC11125650

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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.