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Volume 30 Issue 1
Aug.  2021
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Article Contents
YANG Shangyu, WANG Xudong, YAO Man, LI Quanyu. Application of improved principal component analysis method to mould process monitoring in continuous casting[J]. Chinese Journal of Engineering, 2008, 30(1): 80-83. doi: 10.13374/j.issn1001-053x.2008.01.010
Citation: YANG Shangyu, WANG Xudong, YAO Man, LI Quanyu. Application of improved principal component analysis method to mould process monitoring in continuous casting[J]. Chinese Journal of Engineering, 2008, 30(1): 80-83. doi: 10.13374/j.issn1001-053x.2008.01.010

Application of improved principal component analysis method to mould process monitoring in continuous casting

doi: 10.13374/j.issn1001-053x.2008.01.010
  • Received Date: 2006-09-30
  • Rev Recd Date: 2006-11-15
  • Available Online: 2021-08-06
  • The improved principal component analysis (PCA) was introduced to the monitoring of mould processes during slab continuous casting. Based on analyzing the measured mould friction data, simulation results show that the improved PCA can avoid the conservation of Q statistical test and effectively identify the change in the Hotelling T2 test which may caused by process fault or variation in operating condition. Compared with the conventional PCA, the improved PCA is more effective and sensible in fault diagnosis and process monitoring.

     

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      沈陽化工大學材料科學與工程學院 沈陽 110142

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