Advanced Sensing Applications for Fault Diagnosis and Reliability Analysis of Elector-Mechanical Systems

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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