基于PNN的煤炭输送机减速器齿轮故障诊断 |
| |
引用本文: | 施雷红,陈强.基于PNN的煤炭输送机减速器齿轮故障诊断[J].工业控制计算机,2012,25(6):43-44,47. |
| |
作者姓名: | 施雷红 陈强 |
| |
作者单位: | 江西理工大学电气工程与自动化学院,江西赣州,341000 |
| |
摘 要: | 针对煤炭输送机减速器出现的故障,提出在多信息融合模型的特征层使用概率神经网络(PNN)对其进行故障诊断的研究。使用PNN、BP对减速器齿轮故障进行仿真实验并比较,结果表明PNN在时间、准确度方面优于BP网络。
|
关 键 词: | 煤炭输送机 概率神经网络 减速器 齿轮 反向传播神经网络 |
Fault Diagnosis of Conveyor Reducer Gear Based on PNN |
| |
Affiliation: | Shi Leihong et al |
| |
Abstract: | In the light ot the coal conveyor reducer fault,this paper presents a probabilistic neural network (PNN) for fault diagnosis which can be used in feature layer of multiple information fusion model.This paper uses two mathods (PNN,BP) to diagnosis the reducer gear failure.Simulation experiments results reflect that PNN is superior to BP network in time and accuracy. |
| |
Keywords: | the coal conveyor probabilistic neural network gear reducer back propagation neural network |
本文献已被 CNKI 维普 万方数据 等数据库收录! |