Artificial Intelligence for Fault Detection in Manufacturing

Dear Colleagues,

We are pleased to invite you to contribute to a Special Issue on "Artificial Intelligence for Fault Detection in Manufacturing: Addressing Data Imbalance for Reliable Quality Control", which will be published in Mathematics. This Special Issue focuses on the critical intersection of AI, manufacturing processes, and advanced mathematical techniques, highlighting the importance of addressing data imbalance to enhance the reliability and accuracy of quality control systems.

In recent years, the application of AI in manufacturing has become essential for maintaining high standards of quality control. However, a significant challenge in this domain is the imbalance of data, where abnormal or faulty data are scarce compared to normal operational data. This imbalance can hinder the effectiveness of AI-driven fault detection systems. Therefore, this Special Issue aims to gather cutting-edge research that leverages mathematical techniques—such as statistical modeling, data augmentation, and algorithmic optimization—combined with AI to overcome these challenges and improve manufacturing processes.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but not limited to) the following:

• Mathematical optimization methods for enhancing AI accuracy;
• AI-driven fault detection in manufacturing processes;
• Addressing data imbalance through statistical modeling and data augmentation;
• Synthetic data generation techniques for AI model training;
• Machine learning algorithms tailored to manufacturing quality control;
• Case studies on the practical implementation of AI in industrial settings;
• Predictive modeling for fault detection and maintenance;
• Optimal design using surrogate models.

Prof. Dr. Jinwoo Song
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

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. Mathematics is an international peer-reviewed open access semimonthly 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 2600 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.