Advances in Artificial Intelligence for Vibration-Based Life-Time Monitoring
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Machines Testing and Maintenance".
Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 2829
Special Issue Editors
Interests: artificial intelligence; uncertainty quantification; vibration; NDT; SHM
Interests: artificial intelligence; manufacturing process
Special Issue Information
Dear Colleagues,
Over the years, vibration-based methods have been utilized extensively for monitoring and assessing the health of systems and structures in various applications and thus, evolved from traditional methods to artificial intelligence (AI)-based methods. Although AI-based methods have become very popular among researchers and engineers, their performances depend on the quality and quantity of the available training data. This motivates the development of new AI methods to deal with upcoming challenges.
This Special Issue aims to provide a platform for researchers and engineers to share their latest theoretical achievements and/or engineering experiences. This could facilitate the identification of critical issues and challenges for future studies in the field. The theoretical papers accepted into this Special Issue are expected to contain original ideas and potential solutions for resolving real problems.
Topics include, but are not limited to, the development and application of AI in vibration-based methods, such as:
- Damage detection and localization;
- Non-destructive testing;
- Condition monitoring;
- Structural health monitoring;
- Damage diagnosis and prognosis;
- Predictive maintenance;
- Decision-making.
Dr. Vahid Yaghoubi
Dr. Nathan Eskue
Dr. Nick Eleftheroglou
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Machines is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence
- vibration
- non-destructive testing
- structural health monitoring
- predictive maintenance
- life cycle assessment
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