Prognostics and Health Management in Mechanical and Manufacturing Systems

Dear Colleagues,

We are pleased to announce this Special Issue on Prognostics and Health Management (PHM) in mechanical and manufacturing systems. This issue aims to bring together experts and researchers from academia and industry to highlight the latest advancements and challenges in PHM, particularly in the context of smart factories.

As technology continues to revolutionize the mechanical and manufacturing industries, PHM has become increasingly critical. Smart factories, with their integration of AI and automation, have opened up new possibilities for optimizing maintenance strategies, enhancing productivity, and prolonging the health and performance of mechanical systems.

We invite researchers and professionals to contribute their original research and share their insights on topics related to PHM in Mechanical and Manufacturing Systems, including, but not limited to:

• The applications of AI in PHM for Mechanical Engineering.
• PHM in Smart Factories: Challenges and Opportunities.
• Predictive Maintenance Techniques for Mechanical Systems.
• Prognostics and Health Monitoring in Manufacturing Systems.
• Data Analytics and Machine Learning in PHM.
• Condition Monitoring and Fault Diagnosis.
• The optimization of Maintenance Strategies in Manufacturing.

Dr. Izaz Raouf
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 100 words) can be sent to the Editorial Office for announcement on this website.

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.

• prognostics and health management (PHM)
• smart factory
• application of AI
• AI in mechanical engineering
• maintenance
• prognostics