Advancements in Predictive Maintenance—Fault Detection and Condition Monitoring in Electromechanical Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".
Deadline for manuscript submissions: 15 June 2026 | Viewed by 13
Special Issue Editor
Interests: diagnostics of electromechanical systems; data-driven rotary machine fault diagnosis; control algorithms for complex electromechanical systems, including direct drives, electrical drives and fault-tolerant; using artificial intelligence and the internet of things (IoT) to detect faults in complex systems; precise motion control; electromechanical system identification; real-time data analysis; internet of things for batch and stream processing for fault diagnosis and system monitoring
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Special Issue Information
Dear Colleagues,
Electromechanical systems—comprising electric drives, actuators, sensors, and control units—are foundational to modern industry, transportation, and energy infrastructure. Their reliability and performance are critical, and predictive maintenance has become a key strategy to ensure operational continuity, safety, and cost efficiency.
This Special Issue will focus on recent advancements in fault detection and condition monitoring, especially within electromechanical systems. We invite contributions that explore novel methodologies, sensor technologies, intelligent diagnostics, and real-world applications that push the boundaries of predictive maintenance.
Special emphasis is placed on the diagnostics of electric drives, including fault detection and localization in various subsystems such as
- Transistor-based power electronic converters (e.g., IGBT faults);
- Drive shafts, bearings, and gear mechanisms;
- Speed and position measurement sensors;
- Internal and external faults in electric motors;
- Control system degradation and software anomalies.
We also welcome submissions related to diagnostic systems for PMSMs and other motor types, as well as diagnostics in mechatronic systems, robotic platforms, and unmanned vehicles, including Unmanned Aerial Vehicles (UAVs). Both basic research that extends the understanding of fault mechanisms and applied research demonstrating low-technology-readiness-level (TRL) innovations are encouraged.
Topics of Interest
Submissions may address topics including, but not limited to,
- Fault detection and isolation in electric drives;
- Sensor fault diagnostics and redundancy;
- Signal processing for fault feature extraction;
- Sensor fusion techniques for condition monitoring;
- AI and machine learning for predictive maintenance;
- Digital twin modeling and simulation;
- Prognostics and health management (PHM);
- Diagnostics in robotics and unmanned systems;
- Cloud-based and edge-based diagnostic architectures;
- Communication protocols for distributed diagnostics;
- Industrial case studies and deployment strategies.
Open Research Questions
This Special Issue also aims to address several key challenges:
- How can sensor fusion be optimized for real-time fault isolation in complex electromechanical systems?
- What are the most effective strategies for detecting incipient faults under noisy and variable operating conditions?
- How can digital twins be validated and scaled across heterogeneous drive architectures?
- What are the limitations of current AI models in generalizing across different system types and environments?
- How can predictive maintenance systems be made resilient to sensor faults and cyber–physical disruptions?
- What benchmarking frameworks are needed to evaluate fault detection algorithms in industrial settings?
Dr. Dominik Łuczak
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.
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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.
Keywords
- predictive maintenance
- fault detection
- condition monitoring
- electric drives
- power electronics
- sensor fusion
- signal processing
- prognostics and health management (phm)
- digital twin
- mechatronic systems
- unmanned vehicles
- robotics diagnostics
- PMSM diagnostics
- AI in maintenance
- industrial automation
- remote diagnostics
- edge computing
- vibration analysis
- motor faults
- current analysis
- inverter faults
- sensor faults
- control system faults
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