Quality‐related process monitoring approach based on sparse autoencoder and comprehensive KPLS

The partial least squares (PLS) model is widely employed in quality‐related process monitoring due to its ability to effectively establish a linear relationship between process and quality variables. To extend this capability to nonlinear scenarios, kernel partial least squares (KPLS) was introduced...

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Vydané v:	Canadian journal of chemical engineering Ročník 103; číslo 10; s. 4939 - 4951
Hlavní autori:	Xue, Yikai, Pan, Haipeng, Wu, Ping, Ye, Zhenyu, Zhou, Haiyun, Wu, Zhenquan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Hoboken, USA John Wiley & Sons, Inc 01.10.2025 Wiley Subscription Services, Inc
Predmet:	Fault detection Feature extraction Hot rolling Hot rolling mills Kernel functions kernel partial least squares (KPLS) Least squares Monitoring Nonlinearity process monitoring Process variables quality‐related sparse autoencoder (SAE) Subspaces
ISSN:	0008-4034, 1939-019X
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