Design of Equipment Data Analysis Algorithm Based on Convolution and BP Neural Network

In view of the increasingly rich types of equipment data, statistical algorithms have been unable to extract various types of feature information and evaluate equipment status. This paper aims to study the design of equipment data analysis algorithm based on convolution and BP neural network. Based on the analysis of the theoretical model of convolution neural network, the structure of BP neural network and the design of BP neural network topology, the equipment data collection and analysis. The system is designed, and the equipment data analysis algorithm is constructed using convolutional neural network and BP neural network. Finally, this paper has tested the system, and the test results show that the performance of the system can fully meet the needs of users.