Wind farm: detecting maintenance issues through low-frequency analysis
Low-frequency acoustic signature as a predictive maintenance tool for wind turbines.
The challenge
In wind installations, the low-frequency component is one of the most sensitive parameters from both an environmental and operational standpoint. SNA developed an advanced acoustic study at a wind farm aimed at early detection of potential maintenance issues, with special emphasis on low-frequency analysis and tonal components associated with mechanical operation.
These components, though sometimes barely perceptible in global terms, can trigger regulatory penalties or become early indicators of technical anomalies such as misalignments, bearing wear, gearbox irregularities or unforeseen aerodynamic phenomena.
The solution
Through specific measurement campaigns and high-resolution spectral analysis, the acoustic behaviour of wind turbines in low-frequency bands was evaluated. The study differentiated the normal acoustic operating pattern from significant low-frequency deviations, correlating certain events with specific load states and operating regimes.
This approach transformed acoustic analysis into a predictive tool, anticipating maintenance interventions before problems evolved into major incidents or regulatory non-compliance.
The result
Beyond its technical-operational value, low-frequency control is decisive for ensuring the wind farm's compatibility with its surroundings, especially in areas near inhabited settlements, where this type of component can generate greater social sensitivity. Low-frequency analysis was approached not merely as an environmental requirement but as a strategic tool to optimise reliability, reduce risks and improve the overall performance of the installation.
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