Research on Equipment Performance Failure Mode Identification and Early Warning Technology of Steel Rolling Production Line
Based on the on-site actual situation of iron and steel enterprises,this paper analyzes the key technical problems that should be solved in the research of industrial equipment performance failure mode identification,and puts forward the technology of self-sensing design and failure data set of key components of equipment,the intelligent identification method of key component failure mode based on deep learning,the remaining life prediction technology of data model,and the remaining life prediction technology driven by monitoring data and degradation model.The above mentioned technologies are applied to the steel rolling predictive maintenance system of iron and steel enterprises.As a result,the hidden danger of rolling mill equipment was warned in advance,and the heavy loss of unplanned shutdown of production line was effectively avoided.It provides reference for the research and progress of monitoring and diagnosis technology of key components of equipment in iron and steel industry.
NETL
NSTL
万方数据
