首页|基于BP神经网络的炉辊联轴器健康评估

基于BP神经网络的炉辊联轴器健康评估

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针对炉辊联轴器故障诊断难的问题,通过分析某连续退火机组传动部多个测点的振动数据,提出了基于BP神经网络的炉辊联轴器故障诊断方法.该方法以一测点振动数据为输入,以健康标签三分类为输出,可准确识别联轴器正常、摩擦和故障的三种健康状态,具有较高的工程实用性.
Health Assessment of Furnace Roller Coupling Based on BP Neural Network
In response to the problem of difficult fault diagnosis for furnace roller couplings,a fault diagnosis method for furnace roller couplings based on BP neural network is proposed by analyzing the vibration data of multiple measurement points in the transmission part of a continuous annealing unit.This method takes vibration data from a measuring point as input and health label three classifications as output,which can accurately identify the three health states of coupling:normal,friction,and fault,and has high engineering practicality.

BP neural networkcouplinghealth assessment

丁保宇、牛锐祥

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山西太钢不锈钢股份有限公司硅钢事业部,山西 太原 030003

BP神经网络 联轴器 健康评估

2024

山西冶金
山西省金属学会 山西省有色金属学会

山西冶金

影响因子:0.139
ISSN:1672-1152
年,卷(期):2024.47(3)
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