Curriculum:

1. Basic Infrared Theory
• Heat transfer
• Electromagnetic spectrum
• Emittance, reflectance, and transmittance
• Atmospheric transmission
• IR wavebands and lens materials
2. Infrared Equipment
• Selection criteria
• Range and level settings
• Class demonstrations
• Manufacturer equipment presentations (optional)
• Hands-on use in class
3. Electrical System Inspections
• Theory and thermal signatures of problems
• Airborne inspection of transmission lines
• Ground-based inspection of distribution systems
• Substation inspections
• In-plant inspection of: transformers, bus, switchgear, fuses, circuit breakers, cable trays
• Guidelines for inspection for end user and thermographer responsibilities, safety practices, data gathering and report preparation
4. Mechanical System Inspections
• Theory and thermal signatures of problems
• Rotating equipment
• Power transmission components
• High-temperature insulation
• Fluid flow including steam systems, heat exchangers, cryogenics, etc.
• Active thermographic inspection techniques
• Guidelines for inspection for end user and thermographer responsibilities, safety practices, data gathering and report preparation
5. Structural Energy Loss Inspections
• Theory and component construction
• Insulation & material characteristics
• Inspection techniques of interior and exterior
• Weather variables and models
• Required site conditions for creating sufficient delta-T
• Pre-inspection procedures
• Inspection and data recording
• Verification of data
• Conduction losses by insufficient, missing, damaged or improperly-installed insulation: weather variables and influences, thermal signatures
• Convection losses by uncontrolled air movement, natural and forced convection, thermal signatures, pressurization/depressurization techniques
• Guidelines for inspection for end user and thermographer responsibilities, safety practices, data gathering and report preparation
6. Implementing an IR Predictive Maintenance Program
• 9 steps to setting up a program
• Integrating with other predictive technologies
• Cross-verifying with other predictive technologies
• Why programs fail, how they succeed