Evaluation of State of Health of Equipment for Predictive Maintenance and Circular Economy

Dear Colleagues,

Today, companies are trying to improve the reliability of their equipment by implementing technical solutions such as health monitoring and effective diagnostics. These improvements require the development of robust approaches. However, the increasing complexity of systems makes such developments difficult to implement. Furthermore, concerns surrounding environmental preservation and waste minimization require solutions to anticipate the shutdown of production due to breakdowns through predicting the state of degradation of production equipment.  Thus, more suitable maintenance strategies for their entire life cycle can be proposed. Within this framework, this Special Issue seeks recent research on themes dealing with unexpected events for complex systems, presenting new techniques and methodologies and discussing their strengths, weaknesses, and uncertainties to improve the performance of prediction techniques and the exploitation of operating data.

This Special Issue will focus on health assessment methodologies throughout the life cycle of machines. Topics of interest include:

• Data-driven fault diagnosis techniques.
• Advanced model-based fault diagnosis and fault-tolerant control techniques for complex industrial processes.
• Intelligent fault diagnosis and fault-tolerant control techniques for safety-critical systems.
• Real-time implementation and industrial applications.
• Predictive maintenance including remanufacturing.
• Maintenance and circular economy.
• Management of obsolescence.

Prof. Dr. Zineb Simeu-Abazi
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.

• degradation
• diagnostic
• prognostic
• maintenance
• state of health
• monitoring
• remanufacturing