基于贝叶斯决策模型的热轧卷筒电机故障诊断

卷筒电机是卷筒的动力来源,对钢卷卷形质量和卷取稳定性有着重要影响.针对热连轧机组卷取工序中卷筒电机的鼠笼条断裂问题,通过从现场采集卷筒电机电流信号,并经过信号截取、滤波、拟合等操作提取出信号特征,利用多元高斯模型进行建模,并基于最小风险的贝叶斯分类算法对其进行故障诊断.试验结果表明,采用最小风险贝叶斯决策模型可以较好地...

Fault diagnosis of reel motor in hot continuous rolling based on Bayesian decision

The reel motor is the power source of the reel, which has an important influence on the coil shape quality and coiling stability. Aiming at the squirrel cage broken problem of the reel motor in the coiling process of the hot strip mill, the current signal of the reel motor is collected from the steel mill, and the signal characteristics are extracted through signal interception, filtering, fitting and other operations. The multivariate Gaussian model is used for modeling, and the fault diagnosis is performed based on the Bayesian classification algorithm with minimum risk. Experimental results prove that the Bayesian decision based on minimum risk can better diagnose the failure phenomenon of the squirrel cage strip of the reel motor. Compared with support vector machines and Fisher classifiers, the proposed method has a good classification effect and the ability to capture abnormal samples can be enhanced by adjusting the risk coefficient.