Where Accuracy Drives Value
The Challenge: Hidden Risks in Measurement Variation
In wind turbine operations, confidence in measurement systems is critical. Even minor variation in inspection data can lead to false rejects, missed defects, or inaccurate forecasts—creating unnecessary downtime, costly rework, and long-term reliability risks.
Without a proven methodology to validate measurement systems, operators face uncertainty:
Are inspection tools accurate and repeatable?
Do results vary between technicians or environments?
Can the data be trusted to guide multimillion-dollar decisions?
The Solution: GWT’s Measurement Systems Analysis (MSA)
Through a structured methodology combining Gauge R&R (Repeatability & Reproducibility), ANOVA analysis, and structured replicate testing, GWT quantifies and eliminates variation at its source—ensuring that when a system reports a value, it is not an approximation but an accurate reflection of reality, consistently within a very low margin of error. Our engineers then apply Root Cause Analysis and Lean Six Sigma best practices to fix weaknesses and revalidate improvements.
The result: calibrated, data-backed accuracy you can depend on—measurement results that are fact, not assumption.
Data Backed Revalidation
We statistically confirm that the measurement system is operating within specification, demonstrating that reported results are both repeatable and factually accurate. Every revalidation is documented, traceable, and data-backed.