A Fault Diagnosis System for Main Fan in Coal Mine Based on BP Neural Network

2018 2nd annual International Conference on Cloud Technology and Communication Engineering

计算机科学;无线电电子学

Ma, Linlian^1 ; Zhang, Yuzhu^2 ; Li, Zhangbing^3

Guizhou Institute of Technology, Guiyang, China^1

Guizhou Zhonghe Technology Co., Ltd., Guiyang

550003, China^2

Hunan University of Science and Technology, Xiangtan, China^3

关键词: BP networks;    BP neural networks;    Experimental simulations;    Fault characteristics;    Fault diagnosis systems;    Learning models;    Main fans;    Three-layer structures;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/466/1/012061/pdf
DOI  :  10.1088/1757-899X/466/1/012061

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

By analysing the three-layer structure of BP neural network and the fault characteristics of main fan in coal mine, the BP network structure of fault diagnosis is constructed, and the learning model and algorithm of BP network are designed. The experimental simulation shows that the accuracy of the fault diagnosis of the main fan of the coal mine is improved.