[1]王艳华.基于单片机的充填机机电一体化系统故障诊断[J].机械与电子,2023,41(02):76-80.
　WANG Yanhua.Fault Diagnosis of Filling Machine Mechatronics System Based on Single Chip Microcomputer[J].Machinery & Electronics,2023,41(02):76-80.
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基于单片机的充填机机电一体化系统故障诊断()
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
41
期数:
2023年02期
页码:
76-80
栏目:
机电一体化技术
出版日期:
2023-02-28

文章信息/Info

Title:
Fault Diagnosis of Filling Machine Mechatronics System Based on Single Chip Microcomputer
文章编号:
1001-2257 ( 2023 ) 02-0076-05
作者:
王艳华
烟台职业学院,山东 烟台 264670
Author(s):
WANG Yanhua
( Yantai Vocational College , Yantai 264670 , China )
关键词:
单片机; 充填机; 机电一体化; 故障诊断; EMD 分解;  GRNN 神经网络
Keywords:
single chip microcomputer ;  filling machine ;  mechatronics ;  fault diagnosis ;  EMD decomposition ;  GRNN neural network
分类号:
TH12
文献标志码:
A
摘要:
研究基于单片机的充填机机电一体化系统故障诊断方法,提升充填机机电一体化系统的故障诊断精度。选取 TMS320C54X 单片机作为充填机机电一体化系统的核心处理器, TMS320C54X 单片机利用内置的智能处理模型预处理传感器采集的充填机机电一体化系统运行信号,滤波处理所采集的信号;选取 EMD 分解方法处理完成滤波处理后信号,提取充填机机电一体化系统的故障信号特征向量;选取 GRNN 神经网络依据所提取的故障特征向量实现故障诊断,利用 CAN 总线通信方式传送故障诊断结果至充填机机电一体化系统的远程控制中心,实现充填机机电一体化系统故障诊断。实验结果表明,该方法可以有效诊断充填机机电一体化系统不同类型故障,故障诊断精度高于 98% ,故障平均诊断时间均低于 220 ms 。
Abstract:
The fault diagnosis method of filling machine mechatronics system based on single chip microcomputer is studied to improve the fault diagnosis accuracy of filling machine mechatronics system.The TMS320C54X single-chip microcomputer is selected as the core processor of the filling machine mechatronics system.The TMS320C54X single-chip microcomputer uses the built-in intelligent processing model to preprocess the operation signal of the filling machine mechatronics system collected by the sensor , filter and process the collected signal , and select the EMD decomposition method to complete the processing.After filtering the processed signal , the fault signal feature vector of the filling machine mechatronics system is extracted , the GRNN neural network is selected to realize the fault diagnosis based on the extracted fault feature vector , and the CAN bus communication method is used to transmit the fault diagnosis result to the filling machine mechatronics system ’ s remote control center to realize fault diagnosis of filling machine mechatronics system.The experimental results show that the method can effectively diagnose different types of faults in the mechanical and electrical integration system of the filling machine , the fault diagnosis accuracy is higher than 98% , and the average fault diagnosis time is less than 220 ms.

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备注/Memo

备注/Memo:
收稿日期: 2022-02-15
作者简介:王艳华 ( 1981- ),女,山东莱芜人,硕士,研究方向为自动化控制工程、档案管理。
更新日期/Last Update: 2023-03-08