机械制造与自动化2024,Vol.53Issue(5) :247-250.DOI:10.19344/j.cnki.issn1671-5276.2024.05.052

基于神经网络的力传感器健康状态监测研究

Research on Health Monitoring of Force Sensor Based on Neutral Network

宋志成 崔江
机械制造与自动化2024,Vol.53Issue(5) :247-250.DOI:10.19344/j.cnki.issn1671-5276.2024.05.052

基于神经网络的力传感器健康状态监测研究

Research on Health Monitoring of Force Sensor Based on Neutral Network

宋志成 1崔江1
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作者信息

  • 1. 南京航空航天大学 自动化学院,江苏 南京 210016
  • 折叠

摘要

力传感器的健康状态监测是保证力传感器安全可靠运行的重要手段.选取力传感器的总精度作为健康状态的评估指标.由于总精度计算复杂,通过提取简单的特征信号,采用 3 种神经网络对力传感器的总精度进行估测,并进行对比验证.实验结果表明:以神经网络对力传感器的总精度进行估测的方法来监测其健康状态可行,为力传感器健康状态监测提供了一条新途径.

Abstract

The health monitoring of force sensor is an important means to ensure the safe and reliable operation of force sensor.The total accuracy of the force sensor is selected as the health evaluation index.Due to the complexity of the calculation of the total precision,three kinds of neural networks are applied to estimate the total precision of the force sensor by extracting the simple characteristic signals.The experimental results verify the feasibility of using neural network to estimate the total accuracy of force sensor for health status monitoring,which provides a new way to monitor the health status of force sensor.

关键词

力传感器/健康状态监测/总精度/神经网络

Key words

force sensor/health monitoring/total precision/neural networks

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出版年

2024
机械制造与自动化
南京机械工程学会 南京机电产业(集团)有限公司

机械制造与自动化

CSTPCD
影响因子:0.29
ISSN:1671-5276
参考文献量5
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