AI-Powered Predictive Maintenance: Transforming Industrial Operations Through Intelligent Fault Diagnosis

Dear Colleagues,

This Special Issue aims to explore the revolutionary impact of AI on industrial predictive maintenance, focusing on the intelligent diagnosis of machine faults and its transformative effects on industrial operations. We invite submissions that showcase cutting-edge research, innovative applications, and future directions in this burgeoning field. Contributions might delve into the development and application of AI algorithms for fault detection and diagnosis, including deep learning, machine learning, ensemble methods, and hybrid approaches. We also welcome research examining data-driven condition monitoring techniques, such as sensor fusion, data analytics, and IoT integration. Additionally, we seek investigations into the realm of prognostic health management, including predicting remaining useful life, optimizing maintenance schedules, and minimizing downtime. Real-world applications and case studies highlighting the successful implementation of AI-based predictive maintenance in various industrial sectors are highly encouraged. Finally, we welcome discussions on the challenges and opportunities presented by AI-powered predictive maintenance, such as data quality, model interpretability, ethical considerations, and future research directions. This Special Issue aspires to provide a comprehensive overview of the latest advancements in this domain and inspire further innovation in AI-driven industrial transformation.

Dr. Sumika Chauhan
Dr. Govind Vashishtha
Dr. Rajesh Kumar
Guest Editors

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. Algorithms 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 1800 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.