Advanced Sensing Applications for Fault Diagnosis and Reliability Analysis of Elector-Mechanical Systems
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Fault Diagnosis & Sensors".
Deadline for manuscript submissions: 28 February 2026 | Viewed by 476
Special Issue Editors
Interests: system fault diagnosis and prognosis; testability design and safety analysis; deep learning
Special Issues, Collections and Topics in MDPI journals
Interests: system fault diagnosis; modeling and control; motion control systems; electric vehicles
Special Issues, Collections and Topics in MDPI journals
Interests: electromechanical servo actuation system; planetary roller screw transmission system; advanced sensing and signal processing
Interests: unmanned system terrain perception and navigation; underground space exploration unmanned system technology
Special Issue Information
Dear Colleagues,
Electro-mechanical systems have become increasingly favored due to their significant advantages such as their low noise, flexibility and convenient maintenance. The ability of electro-mechanical systems for fault diagnosis and reliability analysis is very important, especially for various forms of safety-oriented equipment. Advanced sensing technologies are important prerequisites for fault diagnosis and reliability analysis. This Special Issue aims to highlight research into novel sensors and sensing methods, data processing and sensor fusion, and typical applications for fault diagnosis and reliability analysis with elector-mechanical systems.
The goal of this Special Issue is to provide a platform for interdisciplinary research that bridges the gap between sensor technologies, sensing methods, and intelligent fault diagnosis systems, enabling the rapid development of reliability and safety technologies for electro-mechanical systems.
Potential topics of interest include, but are not limited to, the following:
- Design and manufacturing of precision sensors for electro-mechanical systems;
- Active and passive sensing methods for electro-mechanical systems;
- Advanced signal processing and data processing for electro-mechanical systems;
- Sensor fusion techniques for electro-mechanical systems;
- Fault diagnosis methods for electro-mechanical systems;
- Reliability analysis methods for electro-mechanical systems.
Prof. Dr. Chao Zhang
Dr. Yong Zhou
Prof. Dr. Shangjun Ma
Dr. Wen Zhao
Dr. Qixun Zhou
Guest Editors
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Keywords
- design and manufacturing of precision sensors for electro-mechanical systems
- active and passive sensing methods for electro-mechanical systems
- advanced signal processing and data processing for electro-mechanical systems
- sensor fusion techniques for electro-mechanical systems
- fault diagnosis methods for electro-mechanical systems
- reliability analysis methods for electro-mechanical systems
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