Computer vision algorithm based on fiber optic sensors and infrared thermal radiation images for fatigue detection under simulated operating conditions

This article has been retracted: please see Elsevier policy on Article Correction, Retraction and Removal ( https://www.elsevier.com/about/policies-and-standards/article-withdrawal ). This article has been retracted at the request of the Editors-in-Chief. Post-publication, an investigation conducted by the editors discovered that the peer-review process for this article was compromised. Specifically, the editors have identified issues that raise significant doubts about the objectivity and thoroughness of the reviews conducted. The editors have determined that the integrity of the peer-review process has been undermined, leading to a loss of confidence in the validity of the findings presented in the article, and made the decision to retract. Apologies are offered to the readers that this was not detected earlier.

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Publication Details

Journal
Thermal Science and Engineering Progress
Published
2024-11-20
DOI
https://doi.org/10.1016/j.tsep.2024.103066
Primary Topic
Advanced Measurement and Detection Methods
Type
article
Field-Weighted Citation Impact
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article

Computer vision algorithm based on fiber optic sensors and infrared thermal radiation images for fatigue detection under simulated operating conditions

Wenbo Chen
1 links
Thermal Science and Engineering Progress
Advanced Measurement and Detection Methods
article

Computer vision algorithm based on fiber optic sensors and infrared thermal radiation images for fatigue detection under simulated operating conditions

Wenbo Chen
article en

Abstract

This article has been retracted: please see Elsevier policy on Article Correction, Retraction and Removal ( https://www.elsevier.com/about/policies-and-standards/article-withdrawal ). This article has been retracted at the request of the Editors-in-Chief. Post-publication, an investigation conducted by the editors discovered that the peer-review process for this article was compromised. Specifically, the editors have identified issues that raise significant doubts about the objectivity and thoroughness of the reviews conducted. The editors have determined that the integrity of the peer-review process has been undermined, leading to a loss of confidence in the validity of the findings presented in the article, and made the decision to retract. Apologies are offered to the readers that this was not detected earlier.

Thermal Science and Engineering ProgressVol. 56
Shaanxi University of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 82%
Advanced Measurement and Detection Methods
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