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| Quality Monitoring of Nonlinear Process Based on Kernel Projection to Quality Latent Structure |
| HU Jing1，WANG Chunxia2，WEN Chenglin2，LI Ping1 |
| (1. Department of Control Science and Control Engineering, Zhejiang University, Hangzhou 310027, China; 2. School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China) |
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Abstract Abstract： A novel qualityrelated kernel latent structure projection method was proposed and qualityrelated monitoring was applied in the nonlinear process. Different to the KPLS, the proposed method further decomposes the quality variable space into three subspaces, which can achieve a complete monitoring of the quality which can be and cannot be interpreted by process quality. Meanwhile, the validity of the proposed method was verified by TE simulation.
Key words： kernel projection to quality latent structure; nonlinear process; quality monitoring
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Received: 15 March 2015
Published: 29 June 2015
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