基于气动声学故障诊断技术的风机叶片开裂模型仿真与检测方法研究OACSTPCD

With the continuous development of new energy technologies,wind power has increasingly become the main renewable energy power generation method.The development of large-scale wind turbines is a trend in the wind power industry,and at the same time it has brought many operation and maintenance problems.In order to solve the problems of uneven load on wind turbine blades,easy occurrence of trailing edge cracking,and difficulties in operation and maintenance,a combination of numerical simulation and semi empirical acoustic models is used to study the changes in aerodynamic noise of wind turbine blades under cracking conditions.A theoretical framework for acoustic fault detection using IEEE 2400 international standard is proposed.By means of the analysis of different experimental results and the simulation results of NREL′s semi empirical model software,it is concluded that the proposed non-contact detection model can effectively identify the cracking fault of fan blades.At the same time,this method has strong generalizability and can be used for fault analysis and monitoring of other fan blades.This model can not only detect the cracking failure of the fan blades,but also can be used to analyze the aero-acoustic characteristics of the fan during operation,which is of great significance for perfecting the non-destructive and non-contact detection of fan blades.