This paper focuses on the research of “Wind Turbine Blade Condition Monitoring Based on Acoustic Emission Technology,” aiming to explore the innovative application of acoustic emission (AE) technology in the field of wind power generation, particularly in the real-time monitoring and condition assessment of wind turbine blades, a crucial component. The paper first introduces the fundamental principles and characteristics of AE technology, elucidating its unique advantages in monitoring blade damage. Subsequently, it delves into the common types of wind turbine blade damage, establishing the applicability and necessity of AE technology in blade condition monitoring. This paper presents a monitoring system based on AE technology and conducts field tests on multiple wind turbine units to validate the effectiveness and reliability of this solution. The results demonstrate that the AE-based wind turbine blade condition monitoring system can promptly detect blade damage and assess its severity, providing a scientific basis for the preventive maintenance of wind turbine units.

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On-Line Condition Monitoring of Wind Turbine Blades Based on Acoustic Emission Technology

  • Sheng Bai,
  • Yao Fu,
  • Jun Guo

摘要

This paper focuses on the research of “Wind Turbine Blade Condition Monitoring Based on Acoustic Emission Technology,” aiming to explore the innovative application of acoustic emission (AE) technology in the field of wind power generation, particularly in the real-time monitoring and condition assessment of wind turbine blades, a crucial component. The paper first introduces the fundamental principles and characteristics of AE technology, elucidating its unique advantages in monitoring blade damage. Subsequently, it delves into the common types of wind turbine blade damage, establishing the applicability and necessity of AE technology in blade condition monitoring. This paper presents a monitoring system based on AE technology and conducts field tests on multiple wind turbine units to validate the effectiveness and reliability of this solution. The results demonstrate that the AE-based wind turbine blade condition monitoring system can promptly detect blade damage and assess its severity, providing a scientific basis for the preventive maintenance of wind turbine units.