Abstract: Embodiments of the present disclosure provide systems, methods, and computer-readable storage media configured to monitor wind turbines and detect damage to one or more components of the wind turbines, such as damage to the blades. The techniques disclosed herein may utilize sensors (e.g., acoustic sensors) disposed within air cavities of one or more blades of the wind turbines to detect acoustic signals or acoustic energy caused by corrosive impacts (e.g., wind, dust, rain, hail, lightning, etc.) to the wind turbine. Information associated with the acoustic signals may be provided to and received by a processor used to determine whether one or more of the blades of the wind turbines have been damaged. The techniques disclosed herein may facilitate real-time or near-real-time monitoring of wind turbines for damage, which may enable more efficient operation and maintenance of wind turbines.

Abstract: Embodiments of the present disclosure provide systems, methods, and computer-readable storage media configured to monitor wind turbines and detect damage to one or more components of the wind turbines, such as damage to the blades. The techniques disclosed herein may utilize sensors (e.g., acoustic sensors) disposed within air cavities of one or more blades of the wind turbines to detect acoustic signals or acoustic energy caused by corrosive impacts (e.g., wind, dust, rain, hail, lightning, etc.) to the wind turbine. Information associated with the acoustic signals may be provided to and received by a processor used to determine whether one or more of the blades of the wind turbines have been damaged. The techniques disclosed herein may facilitate real-time or near-real-time monitoring of wind turbines for damage, which may enable more efficient operation and maintenance of wind turbines.

Abstract: Embodiments of the present disclosure provide systems, methods, and computer-readable storage media configured to monitor wind turbines and detect damage to one or more components of the wind turbines, such as damage to the blades. The techniques disclosed herein may utilize sensors (e.g., acoustic sensors) disposed within air cavities of one or more blades of the wind turbines to detect acoustic signals or acoustic energy caused by corrosive impacts (e.g., wind, dust, rain, hail, lightning, etc.) to the wind turbine. Information associated with the acoustic signals may be provided to and received by a processor used to determine whether one or more of the blades of the wind turbines have been damaged. The techniques disclosed herein may facilitate real-time or near-real-time monitoring of wind turbines for damage, which may enable more efficient operation and maintenance of wind turbines.

Abstract: Embodiments of the present disclosure provide systems, methods, and computer-readable storage media configured to monitor wind turbines and detect damage to one or more components of the wind turbines, such as damage to the blades. The techniques disclosed herein may utilize sensors (e.g., acoustic sensors) disposed within air cavities of one or more blades of the wind turbines to detect acoustic signals or acoustic energy caused by corrosive impacts (e.g., wind, dust, rain, hail, lightning, etc.) to the wind turbine. Information associated with the acoustic signals may be provided to and received by a processor used to determine whether one or more of the blades of the wind turbines have been damaged. The techniques disclosed herein may facilitate real-time or near-real-time monitoring of wind turbines for damage, which may enable more efficient operation and maintenance of wind turbines.