Dear Colleagues,

Advanced control and fault detection techniques play a vital role in enhancing the performance, efficiency, and reliability of hydraulic machines and systems. With their wide application in various industries, such as manufacturing, construction, aerospace, and automotive, hydraulic systems are crucial for transmitting power and controlling motion. Hydraulic machines and systems play a vital role in various industries, and their optimal operation is crucial for productivity, safety, and cost-effectiveness. However, these systems often face challenges related to nonlinear dynamics, external disturbances, and component failures, leading to decreased efficiency and potential downtime.

The aim of this Special Issue is to bring together cutting-edge research and innovative developments in the field of "Advanced Control and Fault Detection Techniques in Hydraulic Machines and Systems". The primary focus of this Special Issue is to explore novel approaches, methodologies, and technologies that advance the control and fault detection strategies employed in hydraulic systems to achieve superior performance, efficiency, and reliability. This Special Issue aims to address these challenges by soliciting high-quality research contributions that cover, but are not limited to, the following topics:

Advanced Control Techniques:

• Model-based control strategies for hydraulic machines and systems.
• Nonlinear control techniques to address complex system dynamics.
• Robust control methodologies for enhanced system stability and performance.
• Intelligent control approaches, such as fuzzy logic and neural networks, to improve adaptability and fault tolerance.

Fault Detection and Diagnosis Methods:

• Model-based fault detection techniques for hydraulic systems.
• Data-driven approaches using machine learning algorithms for fault detection and diagnosis.
• Sensor fusion methodologies to improve fault detection accuracy.
• Prognostics and Health Management (PHM) techniques for predictive maintenance.

Multi-disciplinary Applications:

• Application of advanced control and fault detection methods in various industries, such as manufacturing, aerospace, automotive, and construction.
• Hydrotronics systems that integrate hydraulic and electronic components or technologies.
• Automotive active hydraulic suspension systems continuously monitor various parameters, including vehicle speed, acceleration, steering angle, and wheel movement, to make real-time adjustments to the suspension.
• Smart fluid power components and systems.
• Case studies showcasing successful implementation of these techniques in real-world hydraulic systems.

Integration of emerging technologies, such as Internet of Things (IoT) and Industry 4.0, in enhancing control and fault detection capabilities.

Dr. Piotr Czop
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.

• fault detection techniques
• hydraulic machines
• hydraulic systems
• model-based control
• nonlinear control
• robust control
• intelligent control
• fuzzy logic control
• neural networks
• genetic algorithms
• data-driven fault detection
• sensor fusion
• prognostics and health management (PHM)
• predictive maintenance
• nonlinear dynamics
• adaptive control
• sliding mode control
• backstepping control
• condition monitoring
• real-time fault detection