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Non-Invasive Inspections: A Review on Methods and Tools
Mubarak Alotaibi1, Barmak Honarvar Shakibaei Asli1, Muhammad Khan1
1Centre for Life-Cycle Engineering and Management, School of Aerospace, Transport and Manufacturing, Cranfield University, Cranfield MK43 0AL, UK.
Sensors (Basel, Switzerland)
|December 28, 2021
Summary
Non-Invasive Inspection (NII) offers vital machine health diagnosis for industrial assets. While no single NII technique is universally effective, radar sensing shows significant promise for future machine health monitoring.
Area of Science:
- Industrial Maintenance
- Condition Monitoring
- Machine Health Diagnosis
Background:
- Non-Invasive Inspection (NII) is crucial for modern industrial maintenance.
- NII enhances asset awareness, reducing costs, risks, and environmental impact.
- Existing literature lacks a formal definition for NII.
Purpose of the Study:
- Identify suitable NII sensing techniques for machine health diagnosis.
- Detect shaft misalignment and gearbox tooth damage in various machines.
- Evaluate NII methods for machines in hostile environments.
Main Methods:
- Literature review of sensing tools and techniques for NII.
- Categorization of NII methods into contact-based and non-contact-based.
- Critical review of vibration, AC voltage, flux, laser, imaging, acoustic, thermographic, and radar sensors.
Main Results:
- NII tools were categorized into contact-based (e.g., vibration) and non-contact-based (e.g., radar).
- Each technique has limitations; effectiveness depends on machine requirements and maintenance needs.
- Radar sensing demonstrates high potential for asset monitoring but requires further research.
Conclusions:
- No single NII technique is optimal for all machine health diagnostics.
- Selecting the right NII method requires considering specific machine operational and maintenance needs.
- Radar sensing offers promising features for NII machine health diagnosis, warranting further investigation.
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