Design and Testing of Real-Time Sensing System Used in Predicting the Leakage of Subsea Pipeline.

Yung-Hsu Chen, Sheng-Chih Shen, Yan-Kuei Wu, Chun-Yen Lee, Yen-Ju Chen

Open access · goldAbstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

0.4field-weighted citation impact, top 46% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

Method for phase space reconstruction to estimate the short-term future behavior of pressure signals in pipelines.MethodsX · 2024
Article

4 · The record

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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

5 authors at 1 institution in 1 country.

Yung-Hsu ChenDepartment of Systems and Naval Mechatronic Engineering, National Cheng Kung University, Tainan 70101, Taiwan.

Sheng-Chih ShenDepartment of Systems and Naval Mechatronic Engineering, National Cheng Kung University, Tainan 70101, Taiwan.ORCID 0000-0001-5114-5750

Yan-Kuei WuDepartment of Systems and Naval Mechatronic Engineering, National Cheng Kung University, Tainan 70101, Taiwan.

Chun-Yen LeeDepartment of Systems and Naval Mechatronic Engineering, National Cheng Kung University, Tainan 70101, Taiwan.

Yen-Ju ChenDepartment of Systems and Naval Mechatronic Engineering, National Cheng Kung University, Tainan 70101, Taiwan.

National Cheng Kung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study integrates the array sensing module and the flow leakage algorithm. In this study, a real-time monitoring deep-sea pipeline damage sensing system is designed to provide decision-making parameters such as damage coordinates and damage area. The array sensor module is composed of multiple YF-S201 hall sensors and controllers. YF-S201 hall sensors are arranged inside the pipeline in an array. The flow signal in the deep-sea pipeline can be transmitted to the electronic control interface to analyze the leakage position and leakage flowrate of the pipeline. The theory of this system is based on the conservation of mass. Through the flow of each sensor, it is judged whether the pipeline is damaged. When the pipeline is not damaged, the flowrate of each sensor is almost the same. When the pipeline is damaged, the flowrate will drop significantly. When the actual size of leakage in the pipeline is 5.28 cm

Indexed as

deep-sea waterhall sensorsleakage sensing systemsubsea pipeline

Identifiers

PMID36146194

DOI10.3390/s22186846

PMCPMC9503181

OpenAlexW4296105192

What OpenQuestion holds

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LicenceCC BY

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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.