Abstract: To address the challenges faced by current wind turbine bearing health assessment methods,which involve extensive sample extraction,model training,and are therefore cumbersome,time-intensive,and labor-intensive with limited applicability,a method utilizing a dynamic threshold for assessing the health status of wind turbine bearings is introduced. Firstly,considering the randomness and intermittency of wind,the concept of deterioration degree is introduced by using the temperature monitoring data of wind turbine bearings,and the upper and lower dynamic thresholds of deterioration degree are determined by curve fitting and cluster clustering methods. Secondly,the health condition evaluation method of wind turbine bearings based on dynamic threshold is proposed by calculating the health status comment set and its grade division range and deterioration degree. Finally,taking the overtemperature fault of the rear bearing of a wind turbine as an example,it is verified that the proposed evaluation method can obtain the effective health conditions of the wind turbine bearing and obtain the fault symptom as soon as possible.