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Sensoria - Wind Blade Integrity Management System
Sensoria™ offers a comprehensive solution for wind turbine blade integrity management, designed to deliver efficiency and cost-saving advantages for wind farm operators. Leveraging advanced acoustic emission (AE) technology, Sensoria™ provides real-time monitoring and progressive insights into wind blade health. The technology captures transient elastic waves generated by material stress within the turbine blades, accurately identifying damage types and locations. By offering immediate mobile alerts upon detecting damage, Sensoria™ ensures rapid response, optimizing maintenance efforts. All data, including historical blade integrity information, is processed through the Sensoria™ Insights Data Portal, providing seamless global access. This enables operators to maintain comprehensive oversight across entire turbine fleets. Developed by MISTRAS Group, a leader in asset protection solutions, Sensoria™ harnesses decades of industry expertise to enhance wind energy operations with precise, data-driven intelligence.
Sensoria™ technology was developed with a variety of features to deliver cost, time, and energy-saving benefits for wind turbine owners and operators. The solution transforms current wind blade integrity management processes with cutting-edge technology backed by decades of asset monitoring expertise and industry leadership. Engineered by a team of expert developers, Sensoria™ is designed to specifically respond to the needs of wind energy personnel. Sensoria’s features create a more seamless, insightful, and actionable blade management experience.
AE Monitoring Technology
Acoustic Emission is comprised of transient elastic waves generated by the rapid release of energy from sources in a material. These tests are typically performed under stress. AE is unique in that it senses movement and not geometry.
The sensors in the blades “listen” to the acoustic signals that components produce during normal operations and detect and track changes to the signal that indicate the onset and growth of damages.
Different kinds of damages result in different kinds of acoustic signals, enabling AE technology to characterize the damage type, severity, and location down to a single blade.