烟草科技2015，Vol.48Issue(12)：78-86,9.DOI:10.16135/j.issn1002-0861.20151213
基于相对变化分析的多模态卷烟制叶丝段故障监测
Failure Monitoring of Multi-mode Tobacco Strip Processing Based on Relative Variation Analysis
摘要
Abstract
Not satisfied with the traditional monovariant statistical process control in tobacco strip processing, a failure monitoring approach based on relative variation analysis was proposed via analyzing the running characteristics of key processing equipments. The approach adopted attribution expansion to convert the three-dimensional data of batch, time and attribution characteristics into two-dimensional data and applied principal component analysis method to statistical modeling for failure monitoring under reference mode. According to the potential process fluctuation of alternate mode and its relative variation against the reference mode, the principal component subspace and residual subspace of monitoring model for reference mode were dissolved separately, then the statistical modeling for failure monitoring under alternate mode were carried out in the dissolved four subspaces. Off-line validation was conducted based on actual running data of equipments, the results showed that: comparing with traditional failure monitoring methods, such as pre-control diagram and process capability index, the proposed method revealed the dynamic variations of process variables and correlation between variables for different modes and batches in depth, and detected equipment failures timely and effectively.关键词
卷烟/制叶丝段/多批次/多模态/主元分析/建模/子空间分解/故障监测Key words
Cigarette/Strip processing/Multi-batch/Multi-mode/Modeling/Principal component analysis Failure monitoring分类
轻工纺织引用本文复制引用
王伟,赵春晖,楼卫东,张利宏..基于相对变化分析的多模态卷烟制叶丝段故障监测[J].烟草科技,2015,48(12):78-86,9.基金项目
国家自然科学基金资助项目"批次过程监测与故障诊断的基础理论研究"(61422306)和"间歇过程高效运行的建模控制方法及应用"(61433005). （61422306）
