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Non-Invasive Inspections: A Review on Methods and Tools.

Mubarak Alotaibi1, Barmak Honarvar Shakibaei Asli1, Muhammad Khan1

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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.

Keywords:
diagnosticsmachine healthmaintenance routinesnon-invasive inspectionradar sensors

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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.