On-load tap-changer spring energy storage insufficiency fault identification method based on neural network response surface

The invention relates to an on-load tap-changer spring energy storage insufficiency fault identification method based on a neural network response surface. The method is characterized by comprising the following steps: based on a finite element method, establishing an on-load tap-changer fault simulation model by using an entity finite element grid; generating a training sample of a neural networkresponse surface model by adopting a uniform design method, and obtaining output fault characteristics through simulation of a tap switch spring energy storage insufficiency fault; constructing a neural network response surface model through regression analysis of input parameters and output characteristics of a tap switch spring energy storage insufficiency fault; and with the output characteristics of the spring energy storage insufficiency fault adopted as a reference, a willingness function-based multi-target recognition algorithm is adopted to recognize the output fault characteristics of the spring energy stora