Thickness control is an important factor in determining the quality of steel products,and the performance and status of the mill AGC hydraulic system have a great impact on the quality of the rolling of the target.Using the fault diagnosis method of deep confidence network based on Internet of Things,using the intelligent control of Internet of Things as a platform,using wire-less sensing network technology to carry out measurement and control of all kinds of data and remote sharing,the collected fault signal input depth confidence network model,training the sample data,and accurately diagnosing the fault through experimen-tal simulation.After experiments,the deep confidence network model can be applied to the complex system such as mill AGC,which can ensure the normal operation of the system and reduce the failure rate of equipment while improving production effi-ciency.
关键词
液压AGC/物联网/深度置信网络/故障诊断/轧制质量/智能控制
Key words
Hydraulic AGC/Internet of Things/Deep Confidence Network/Fault Diagnosis/Rolling Quality/In-telligent Control
维普
万方数据