Thermal Anomaly Reporting Form for Equipment Inspections
The Thermal Anomaly Reporting Form is a standardized digital or paper-based template used in drone-based thermal inspections of mining equipment to document, classify, and prioritize deviations from expected thermal signatures. It captures contextual metadata, thermographic image evidence, quantitative temperature measurements, and actionable assessment fields to support predictive maintenance decisions. Designed for interoperability with mine asset management systems, it bridges raw infrared data and operational maintenance workflows.
📖 Overview
📑 Key Components
🎯 Applications
- ✓ Predictive maintenance scheduling for rotating machinery
- ✓ Electrical system fault detection (e.g., loose connections, phase imbalance)
- ✓ Bearing and lubrication health assessment in high-load equipment
📐 Key Formulas
Temperature Differential (ΔT)
ΔT = T_anomalous − T_reference
Calculates the absolute temperature difference between an anomalous component and a comparable reference point (same component type, load, ambient conditions)
Emissivity-Corrected Radiance
L_corr = ε × σ × T^4 + (1 − ε) × L_reflected
Adjusts measured infrared radiance using component emissivity (ε), Stefan-Boltzmann constant (σ), absolute temperature (T in K), and ambient reflected radiance (L_reflected) to improve accuracy
Anomaly Severity Index (ASI)
ASI = (ΔT / ΔT_threshold) × (Duration_factor) × (Criticality_weight)
Weighted composite score combining normalized temperature deviation, dwell time of anomaly, and asset criticality rating (0–10 scale) to prioritize response