Identification Of Wind Turbine Sound Source Based On Near Field Acoustic Holography

With the enhancement of people’s awareness of environmental protection,wind energy with the advantages of clean and pollution-free comes into sight,which makes the wind power industry develop rapidly.It is of great significance to control the noise of wind turbine and accurately locate the noise source for the development of wind energy industry.Aiming at the problems of complex noise conditions and inacc urate sound source location in the actual operation of wind turbine,the near-field acoustic holography theory is selected as the sound source location method to study.In view of its shortcomings in practical application,the advantages of HELS optimized algorithm for rotating sound source location in the actual operation of wind turbine are explored,and the near-field sound source location algorithm based on HELS optimized is established,The advantages of this method in different working conditions are analyzed.Based on the near-field acoustic holography,the influence of various parameters on the reconstruction accuracy is analyzed.In view of the interaction between multiple blades in the actual operation of wind turbine,it is found that the HELS method can reconstruct the complex sound field and improve the reconstruction accuracy.In the program,the near-field acoustic holography algorithm and the HELS optimized algorithm are realized,and the simulation is carried out.The results show that HELS optimization has obvious advantages in sound source identification and location,and it has better reconstruction surface accuracy and sound source identification advantages than near-field acoustic holography.The two algorithms are further verified by using the point sound source in the rotating simulation test bench.Through the motion process identification of the point sound source and the sound source identification of the rotating sound source at a fixed angle.Through the analysis and comparison of the identified sound source location,it is found that the HELS optimized algorithm can better identify the near-field noise.It further shows that the algorithm can be used to locate the near-field noise of the rotating wind turbine.It is found that the improved HELS algorithm can effectively suppress the influence of multiple sound sources and get the location of sound sources more accurately,which provides experience for accurate positioning and noise reduction of wind turbine near-field noise.