基于可拓神经网络的汽车涂装线设备故障诊断

系统仿真学报 ›› 2015, Vol. 27 ›› Issue (3): 542-548.

基于可拓神经网络的汽车涂装线设备故障诊断

叶永伟, 任设东, 叶连强, 葛沈浩, 钱志勤

浙江工业大学机械工程学院, 杭州 310014

收稿日期:2014-08-24 修回日期:2014-11-25 出版日期:2015-03-08 发布日期:2020-08-20
作者简介:叶永伟(1964-),男,浙江义乌人,博士,副教授,研究方向为机电系统智能控制,制造业信息化等;任设东(1989-),男,浙江金华人,硕士生,研究方向为机电系统故障诊断与决策。
基金资助:
浙江省自然科学基金(LY12E05025)

Fault Diagnosis for Automobile Coating Equipments Based on Extension Neural Network

Ye Yongwei, Ren Shedong, Ye Lianqiang, Ge Shenhao, Qian Zhiqin

College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310014, China

Received:2014-08-24 Revised:2014-11-25 Online:2015-03-08 Published:2020-08-20

摘要/Abstract

摘要： 针对汽车涂装线设备故障无法及时发现和排除的困难,提出基于可拓神经网络的故障诊断方法。该方法利用可拓学定性和定量描述方式处理结构化知识的特性并结合神经网络并行结构的特点,使可拓神经网络借助并行分布处理结构完成可拓推理过程。依据烘房燃烧加热系统设备监测参数和故障类型,建立基于可拓神经网络的物元输入、输出模型。将参数样本进行训练,对训练结果进行仿真对比实验,实验结果显示该方法相对传统神经网络具有结构简单、反应速度快等优点。

关键词: 故障诊断, 神经网络, 可拓学, 加热系统

Abstract: Aiming at the difficulty in discovering and eliminating the system faults of automobile coating equipments in time, a new method of fault diagnosis based on extension neural network was proposed. The feature of extension theory was used in managing the structured information through qualitative and quantitative description, and it was also combined by the characteristic of parallel construct in neural network. So the extension reasoning process was completed by means of the parallel distributed processing construct of the network. Matter-element input and output models were established according to the equipment monitoring parameters and fault types for the heating system. And parameter samples were taken into training, and a comparative simulation experiment was made for the result. The experiment reveals that the extension neural network has a simpler construct and can respond faster compared with the traditional neural network.

Key words: fault diagnosis, neural networks, extenics, heating system

中图分类号:

TP391

叶永伟, 任设东, 叶连强, 葛沈浩, 钱志勤. 基于可拓神经网络的汽车涂装线设备故障诊断[J]. 系统仿真学报, 2015, 27(3): 542-548.

Ye Yongwei, Ren Shedong, Ye Lianqiang, Ge Shenhao, Qian Zhiqin. Fault Diagnosis for Automobile Coating Equipments Based on Extension Neural Network[J]. Journal of System Simulation, 2015, 27(3): 542-548.

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