Sensor-Based Condition Monitoring and Non-Destructive Testing
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Fault Diagnosis & Sensors".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 400
Special Issue Editor
Interests: condition monitoring; structural health monitoring; non-destructive testing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Sensor-based condition monitoring and non-destructive testing technologies/systems have become especially important for most industrial sectors and academic research; the most challenging topic in this field is sensor-based condition monitoring of machinery and non-destructive testing of materials.
The main challenges for these areas are as follows:
- Most industrial assets/machineries work in non-stationary operations;
- Most excitations of materials and, therefore, sensor outputs are non-stationary.
One of the most important industrial requirements for sensor-based condition monitoring and non-destructive testing technologies is effective monitoring/testing at an early stage of damage development.
Addressing these challenges requires novel developments related to sensors and intelligent sensors, time–frequency and the non-linear higher-order spectral analysis of sensor data and adaptation of sensor-based monitoring/testing technologies to non-stationary conditions related to machineries and materials.
Therefore, this Special Issue focuses on sensor-based condition monitoring and non-destructive testing technologies and systems for machineries/structures, paying attention to novel developments related to sensors and intelligent vibration sensors, signal processing of sensor data, artificial intelligence and machine learning for monitoring/testing decision making and the adaptation of sensor-based monitoring/testing technologies to non-stationary conditions related to machineries and materials.
This Special Issue will not cover non-novel “case study manuscripts”. Potential authors need to provide clear statements of manuscript novelties, which should be based on comprehensive state-of-the art reviews.
Prof. Dr. Len Gelman
Guest Editor
Manuscript Submission Information
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Keywords
- condition monitoring
- non-destructive testing
- classical, time–frequency and higher-order signal processing
- adaptation of sensor-based monitoring/testing technologies
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