Evidence map›Paper›PMID 38474901›Full record

ArticleSensors (Basel, Switzerland)2024

Acoustic Imaging Method for Gas Leak Detection and Localization Using Virtual Ultrasonic Sensor Array.

Mu Liang, Kuan Yang, Mingyang Feng, Kaijun Mu, Mingqi Jiao, Lei Li

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. Article
  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

6 authors.

Mu LiangSchool of Physics and Microelectronics, Zhengzhou University, Zhengzhou 450001, China.
Kuan YangSchool of Physics and Microelectronics, Zhengzhou University, Zhengzhou 450001, China.
Mingyang FengSchool of Physics and Microelectronics, Zhengzhou University, Zhengzhou 450001, China.ORCID 0009-0009-7598-3842
Kaijun MuSchool of Physics and Microelectronics, Zhengzhou University, Zhengzhou 450001, China.
Mingqi JiaoSchool of Physics and Microelectronics, Zhengzhou University, Zhengzhou 450001, China.
Lei LiSchool of Physics and Microelectronics, Zhengzhou University, Zhengzhou 450001, China.ORCID 0000-0001-7394-4094

Funding

Henan Provincial Science and Technology Research Project 222102210163National Natural Science Foundation of China 62005247National Natural Science Foundation of China 62271451Science and Technology Major Project of Henan Province 221100230300the National Key Scientific Instrument and Equipment Development Projects of China 62027816
6 · The paper itself

Abstract

An acoustic imaging method for detecting and locating gas leaks based on a virtual ultrasonic sensor array is proposed and experimentally demonstrated. A scanning sensor array of only two sensors is used to collect the acoustic signals generated by the leakage hole. The matrix of the leakage signal is processed by the cross-power spectrum method to achieve time consistency, afterward, the location of the leakage source can be calculated by the virtual beamforming method. The influence of the number of sensors and the distance between adjacent sensors on the effect of the proposed method are compared and discussed. To verify the effectiveness and operability of the detection and localization method, several experiments were carried out. Furthermore, a series of experiments were conducted to assess the accuracy and stability of this method. The experimental results demonstrate that the proposed method based on a virtual sensor array can achieve highly accurate localization of gas leaks and performs well regarding stability.

Indexed as

gas leakageimaging detection and localizationvirtual beamformingvirtual ultrasonic sensor array

Identifiers

PMID38474901
PMCPMC10934451

What OpenQuestion holds

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Registered trials

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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.