Intelligent Sensing Technologies for Blade Health Monitoring and Fault Detection
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Fault Diagnosis & Sensors".
Deadline for manuscript submissions: 20 September 2025 | Viewed by 48
Special Issue Editor
Special Issue Information
Dear Colleagues,
Blades constitute the most abundant and critical components of turbomachinery, with their vibration characteristics directly impacting the structural integrity. These harsh work environments necessitate advanced methodologies for the monitoring of blade health to ensure operational safety, optimize maintenance strategies, and prevent catastrophic failures.
Traditional contact-based measurement techniques, such as strain gauge instrumentation, face inherent limitations in high-temperature applications and lack viability for long-term in situ monitoring due to sensor degradation and intrusive installation requirements.
However, such contact measurements cannot be used for long-term and high-temperature health monitoring. Non-contact, non-intrusive forms of measurement, such as blade tip timing (BTT), blade tip clearance (BTC), microphone array, laser Doppler vibrometer and digital image correlation (DIC), provide opportunities for the measurement and monitoring of turbomachinery.
The scope of this Special Issue includes, but not limited to, the following topics:
- Blade tip timing;
- Blade tip clearance;
- High-resolution blade tip timing systems;
- Deep learning in blade tip timing;
- Compressed sensing in blade tip timing;
- Digital twins in blade tip timing;
- Time-frequency method for blade health monitoring;
- Anomaly detection in blade vibration signatures;
- Dynamic frequency identification;
- Bayesian frameworks for probabilistic fault diagnosis;
- Mistuning detection in blisks;
- Dynamic stress/strain full-field reconstruction;
- High frequency measurement methods in Blade tip timing;
- Blade tip timing without OPR;
- Synchronous and asynchronous vibration detection;
- Acoustic-based fault diagnosis including gas path faults and mechanical vibration faults;
- Blade/disk/blisk health monitoring;
- Blade crack diagnose;
- DIC for full-field vibration measurement;
- Uncertainty quantification in non-contact measurement;
- Intelligent sensing.
Prof. Dr. Baijie Qiao
Guest Editor
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Keywords
- blade tip timing
- blade tip clearance
- blade health monitoring
- fault diagnosis
- crack monitoring
- intelligent sensing
- dynamic frequency identification
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