Evidence map›Paper›PMID 36850808›Full record

ArticleSensors (Basel, Switzerland)2023

Reliability Improvement of Magnetic Corrosion Monitor for Long-Term Applications.

Rukhshinda Wasif, Mohammad Osman Tokhi, John Rudlin, Gholamhossein Shirkoohi, Fang Duan

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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
0.6field-weighted citation impact, top 38% 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, 5 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

5 authors at 2 institutions in 1 country.

Rukhshinda WasifSchool of Engineering, London South Bank University, London SE1 0AA, UK.ORCID 0000-0002-9049-8601
Mohammad Osman TokhiSchool of Engineering, London South Bank University, London SE1 0AA, UK.ORCID 0000-0003-1662-6334
John RudlinTWI Ltd., Cambridge CB21 6AL, UK.
Gholamhossein ShirkoohiSchool of Engineering, London South Bank University, London SE1 0AA, UK.ORCID 0000-0001-6832-6849
Fang DuanSchool of Engineering, London South Bank University, London SE1 0AA, UK.
London South Bank University · GBThe Welding Institute · GB

Funding

Lloyds Register Foundation 3456
6 · The paper itself

Abstract

Electromagnetic techniques are widely employed for corrosion detection, and their performance for inspection of corrosion is well established. However, limited work is carried out on the development and reliability of smart corrosion monitoring devices for tracking internal or buried thickness loss due to corrosion remotely. A novel smart magnetic corrosion transducer is developed for long-term monitoring of thickness loss due to corrosion at critical locations. The reliability of the transducer is enhanced by using a dissimilar active redundancy approach. The improved corrosion monitor has been tested in the ambient environment for seven months to evaluate the stability against environmental factors and degradation. The monitor is found to show great sensitivity to detect defects due to corrosion. Detection of anomalous patterns in the time series data received from the monitors is accomplished by using Pearson's correlation coefficient. The critical component of the monitor is identified at the end of the test. Research findings reveal that, compared to the existing corrosion monitoring techniques in the industry, the detection and isolation of faulty sensor features introduced in this study can contribute to reliable monitoring of thickness loss due to corrosion in ferromagnetic structures over an extended period of time.

Indexed as

active redundancycorrosion monitoringfault diagnosismagnetic eddy currentreliability improvement

Identifiers

PMID36850808
PMCPMC9963622
OpenAlexW4321098531

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.