Design and Implementation of Fault Diagnosis System for Loading Machines Based on Assembled Neural Network Model

Based on the analysis of available methods for fault diagnosis and their characteristics, it designs the process of loading machine fault diagnosis, gives the functions and detail abut some important components in the process.It analyzes the loading machine signal, extracts fault features, uses assembled neural network model to realize this system.The application shows that the model is very effective.