Fault Diagnosis of Electric Control System of Construction Machinery Based on PNN Neural Network

With the development of construction machinery control technology and automation, the fault of electronic control is complicated and difficult to judge. In order to solve these problems, a diagnostic model based on PNN neural network is proposed and designed with MATLAB. The data flow analysis of the new construction machinery electronic control system is realized, and the fault information is given, which provides theoretical guidance and technical support for the fault diagnosis and maintenance of the new construction machinery electronic control system.