Sensor-Based Frequency, Time–Frequency and Higher-Order Signal Processing for Condition Monitoring, Structural Health Monitoring and Non-Destructive Testing (Second Edition)
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Fault Diagnosis & Sensors".
Deadline for manuscript submissions: 25 February 2025 | Viewed by 1117
Special Issue Editors
Interests: digital signal processing; structural health monitoring; condition monitoring; artificial intelligence; vibration analysis; motor current signature analysis; adaptation of diagnosis systems
Special Issues, Collections and Topics in MDPI journals
Interests: optics & terahertz; diagnosis; structural health monitoring; NDT&E
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Following the success of our previous Special Issue, "Sensor-Based Frequency, Time-Frequency, and Higher Order Signal Processing for Condition Monitoring, Structural Health Monitoring, and Non-Destructive Testing", we are now accepting submissions for the second edition of this Special Issue. Sensor-based technologies for condition monitoring, structural health monitoring, and non-destructive testing have become very important in most industrial sectors and academic research.
The main challenges related to these technologies are as follows:
Most industrial assets/machineries are utilized in non-stationary operations;
Most excitations of engineering structures and materials and, therefore, sensor outputs are non-stationary;
One of the most important industrial requirements of these technologies is an effective diagnosis at an early stage of damage development.
Addressing these challenges requires novel signal processing developments that are related to intelligent sensors, frequency, time–frequency, and non-linear higher-order spectral analysis of sensor data, as well as those that are related to the adaptation of sensor-based technologies to non-stationary conditions for machineries, structures, and materials.
Therefore, this SI focuses on sensor-based technologies and systems for machineries, structures, and materials, with a main focus on novel signal processing developments related to intelligent sensors, the signal processing of sensor data, artificial intelligence for decision making, and the adaptation of sensor-based technologies to non-stationary conditions for machineries, structures, and materials.
This Special Issue will not cover non-novel case study papers. Potential authors need to make clear statements on the novelty of their paper, which should be based on comprehensive state-of-the art reviews.
The following keywords describe this SI:
- Frequency, time–frequency, and higher-order signal processing for sensor-based technologies and systems for condition monitoring, structural health monitoring, and non-destructive testing;
- Artificial intelligence for sensor-based technologies and systems for condition monitoring, structural health monitoring, and non-destructive testing;
- Sensor-based structural health monitoring technologies and systems for engineering structures;
- Sensor-based non-destructive testing technologies and systems for materials;
- Sensor-based condition monitoring technologies and systems for machinery and complex electromechanical assets;
- Adaptive sensor-based technologies and systems for condition monitoring, structural health monitoring, and non-destructive testing;
- Sensor-based technologies and systems for linear and non-linear assets, structures, and materials;
- Diagnostic feature extraction for sensor-based technologies and systems for condition monitoring, structural health monitoring, and non-destructive testing.
Prof. Dr. Len Gelman
Prof. Dr. Shuncong Zhong
Guest Editors
Manuscript Submission Information
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Keywords
- non-destructive testing technologies
- structural health monitoring
- diagnostic feature extraction
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