Aerospace Technologies Empower Data-Driven Wind Farm Management ---AIRCAS Verifies China’s First Intelligent Multi-Parameter Wind Turbine Diagnostic System in Field Tests
15 Jan 2026
Researchers from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) have recently completed field validation of China’s first intelligent multi-parameter wind turbine diagnostic system, achieving non-stop, non-contact, intelligent, and real-time health monitoring of wind turbine blades. The system fills a key technological gap in intelligent operation and maintenance of wind power equipment in China.
Led by the Airborne Remote Sensing Center of AIRCAS, the system was jointly developed with Shanghai Electric Wind Power Group Co., Ltd. and other partners. From March to November 2025, the research team conducted on-site tests at wind farms in Yantai, Zhangjiakou, Daqing, Da’an, and Zibo, completing health condition assessments and fault diagnostics for more than 100 wind turbines. The results demonstrated stable performance and strong adaptability under diverse operational conditions.
The system is based on an airborne remote sensing platform, integrating multi-channel laser sensing technologies with intelligent algorithms to enable dynamic and rapid diagnosis of wind turbine operating status. It provides integrated information services for wind resource investigation, meteorological monitoring, turbine health assessment, and wind farm management.
The research addresses growing safety and efficiency challenges in the wind power sector, as recent turbine blade failure incidents have underscored the urgent need for advanced health monitoring technologies. By extending the application of airborne remote sensing to the new energy and low-altitude economy, the study provides technological support for data-driven wind farm management and the intelligent transformation of the wind power industry.
Future research will focus on further improving diagnostic accuracy and wind farm data acquisition capabilities, supporting the wind power sector’s development toward digitalization, intelligence, large-scale deployment, and offshore expansion, and contributing to the implementation of China’s 15th Five-Year Plan for wind power development.
Research News
Aerospace Technologies Empower Data-Driven Wind Farm Management
---AIRCAS Verifies China’s First Intelligent Multi-Parameter Wind Turbine Diagnostic System in Field Tests
Researchers from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) have recently completed field validation of China’s first intelligent multi-parameter wind turbine diagnostic system, achieving non-stop, non-contact, intelligent, and real-time health monitoring of wind turbine blades. The system fills a key technological gap in intelligent operation and maintenance of wind power equipment in China.
Led by the Airborne Remote Sensing Center of AIRCAS, the system was jointly developed with Shanghai Electric Wind Power Group Co., Ltd. and other partners. From March to November 2025, the research team conducted on-site tests at wind farms in Yantai, Zhangjiakou, Daqing, Da’an, and Zibo, completing health condition assessments and fault diagnostics for more than 100 wind turbines. The results demonstrated stable performance and strong adaptability under diverse operational conditions.
The system is based on an airborne remote sensing platform, integrating multi-channel laser sensing technologies with intelligent algorithms to enable dynamic and rapid diagnosis of wind turbine operating status. It provides integrated information services for wind resource investigation, meteorological monitoring, turbine health assessment, and wind farm management.
The research addresses growing safety and efficiency challenges in the wind power sector, as recent turbine blade failure incidents have underscored the urgent need for advanced health monitoring technologies. By extending the application of airborne remote sensing to the new energy and low-altitude economy, the study provides technological support for data-driven wind farm management and the intelligent transformation of the wind power industry.
Future research will focus on further improving diagnostic accuracy and wind farm data acquisition capabilities, supporting the wind power sector’s development toward digitalization, intelligence, large-scale deployment, and offshore expansion, and contributing to the implementation of China’s 15th Five-Year Plan for wind power development.
A scene of the field test. (Image by AIRCAS)