# From Qualitative Localisation to Quantitative Verification: Integrating Active IR Thermography and Laser Scanning in Wind Turbine Blade Inspection

## TL;DR

This paper introduces a new method for inspecting wind turbine blades by combining thermal imaging and laser scanning to more accurately detect and measure damage.

## Contribution

The novel contribution is a fused NDT workflow that integrates active IRT and laser scanning for reliable defect detection and verification in wind turbine blades.

## Key findings

- The fused method disambiguates thermal indications and quantifies defect magnitude in laboratory specimens.
- On a VAWT blade, the integration distinguished genuine geometric changes from architectural effects without CAD data.
- Fleet-level scan comparison detected a significant tip deviation in HAWT blades despite no clear thermal anomalies.

## Abstract

A coupled non-destructive testing (NDT) workflow is proposed that integrates active infrared thermography (IRT) with laser-scanning-based reverse engineering (RE) to increase the reliability of detecting and interpreting damage in composite wind turbine blades across laboratory specimens and real components. IRT provides rapid, image-based qualitative localisation of potential anomalies, while 3D scan analysis supplies quantitative, geometry-aware verification and measurement of defect magnitude, reducing both false positives (design-related thermal signatures) and false negatives (weak thermal contrast). On polystyrene-filled profiles, IRT alone produced thermal anomalies unrelated to delamination; co-registered scan maps identified or ruled out local indentation, correctly attributing heat-flow patterns to internal design rather than damage. Outcome: the fused method disambiguates thermal indications and quantifies defect magnitude. On a vertical-axis wind turbine (VAWT) blade, the integration distinguished genuine geometric change from architectural effects under unknown internal structure and without CAD/reference scans, preventing false calls. For three horizontal-axis wind turbine (HAWT) blades, fleet-level scan comparison detected a significant tip deviation despite no clear local IRT anomalies, demonstrating complementary roles: scan = global quantitative homogeneity; and IRT = local qualitative verification. These findings operationalise thermal–geometric cross-validation and outline a path toward UAV-enabled inspections combining passive IRT and laser scanning for hard-to-access structures under real environmental conditions.