Intelligent Control and Diagnostic Processes in Mechanical and Mechatronic Systems

Dear Colleagues,

Intelligent control and diagnostic processes in mechanical and mechatronic systems are crucial for enhancing the performance, reliability, and efficiency of modern engineering systems. These processes integrate advanced control algorithms and diagnostic techniques into mechanical and mechatronic systems to ensure optimal functioning and early fault detection.

Intelligent control involves using adaptive, predictive, or learning-based methods to autonomously optimize system behavior. Techniques like fuzzy logic, neural networks, and model predictive control are commonly used to manage complex dynamics and uncertainties. These methods enable systems to respond dynamically to changing conditions and maintain stability and efficiency.

Diagnostic processes, on the other hand, aim to identify and diagnose faults within systems before they lead to significant failures. Advanced diagnostic techniques such as vibration analysis, thermography, and machine-learning-based anomaly detection are implemented to monitor system health in real-time. These techniques facilitate proactive maintenance strategies, reducing downtime and repair costs.

The integration of intelligent control and diagnostic processes is particularly beneficial in industries such as automotive, aerospace, and manufacturing, where precision and reliability are paramount. By leveraging these advanced approaches, engineers can design systems that not only perform optimally under varied conditions but also self-diagnose and adapt to potential issues, significantly enhancing overall system sustainability and performance.

We are pleased to invite you to submit articles for publication in the Special Issue of the journal Processes: “Intelligent Control and Diagnostic Processes in Mechanical and Mechatronic Systems”.

This Special Issue aims to combine the latest scientific research and technological innovations related to advanced control, monitoring, fault diagnosis and prediction methodologies in mechanical and mechatronic systems. To promote interdisciplinary dialogue and provide a comprehensive picture of modern smart control and diagnostic solutions, contributing to the creation of new theoretical knowledge and the development of advanced industrial applications.

The aim of the Special Issue is to present the latest research on advanced control and smart diagnostics methods for mechanical and mechatronic systems, promoting the development and application of innovative solutions in industry.

Original theoretical and experimental research results are welcome. Manuscripts can be scientific articles or review articles that provide directions for future research.

Suggested themes and article types for submission: advanced control methods for mechanical and mechatronic systems; Applications of artificial intelligence and machine learning methods in control, monitoring and diagnostic processes; fault diagnosis, localization and identification using model-based, data-driven or hybrid approaches; predictive maintenance and degradation modeling; condition monitoring technologies in mechatronic devices and mechanical systems; sensor integration, data synthesis and signal processing for complex systems; autonomous and semi-autonomous systems, robotics, cyber–physical systems; digital twins for control and diagnostic solutions; reliability, safety and quality assurance in mechatronic systems; intelligent systems for industrial automation, in the context of Industry 4.0/5.0 applications; optimization methods, including multi-objective optimization and real-time solutions.

Prof. Dr. Audrius Čereška
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes 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 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.