Intelligent Sensors for Structural Health Monitoring and Mechanical Fault Diagnosis: 2nd Edition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Fault Diagnosis & Sensors".
Deadline for manuscript submissions: 20 October 2026 | Viewed by 1425
Special Issue Editors
Interests: mechanical fault diagnosis; weak signal detection; structural health monitoring; intelligent medical equipment
Special Issues, Collections and Topics in MDPI journals
Interests: mechanical system dynamics; equipment monitoring and diagnosis; vibration energy harvesting; nonlinear vibration reduction/isolation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Structural health monitoring (SHM) aims to identify the damage caused to fixed objects, including aerospace, civil, and mechanical engineering infrastructure, whereas mechanical fault diagnosis (MFD) seeks to monitor the health states and diagnose the damage to rotating objects, including wind turbines, aero-engines, and high-speed trains. These methods have attracted sustained and growing interest. However, it is vital for investigators to use advanced and intelligent sensors to acquire accurate and multi-source data from fixed and rotating objects. Moreover, the data quality is highly dependent on the sensors. Up to now, many scholars have applied advanced sensors to SHM and MFD, including acoustic emissions, vibration, strain, temperature, images, audio, electric currents, chemical analysis, optical fibers, oil analysis sensors, etc.
This Special Issue therefore aims to compile original research and review articles on the recent advances, technologies, solutions, applications, and new challenges in the field of intelligent sensors for SHM and MFD. These topics include, but are not limited to, the following:
- Novel sensors and sensing technologies in SHM and MFD;
- Intelligent SHM and MFD methods;
- Improved and enhanced data quality methods in SHM and MFD;
- Advanced signal processing techniques in SHM and MFD;
- Sensor network design and optimization in SHM and MFD;
- Remaining useful life prediction in SHM and MFD;
- Weak signal detection and enhancement in SHM and MFD;
- Built-in SHM and MFD intelligent maintenance and health management.
Dr. Zijian Qiao
Dr. Zhihui Lai
Guest Editors
Manuscript Submission Information
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Keywords
- intelligent sensing
- advanced sensors
- structural health monitoring
- mechanical fault diagnosis
- data quality improvement
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