Development of Soft Sensor Based on Sequential Kernel Fuzzy Partitioning and Just-in-Time Relevance Vector Machine for Multiphase Batch Processes

Batch processes are important manufacturing approaches widely used in modern industry. During the manufacturing process, quality prediction is essential. Data-driven-based soft sensors have widely used for quality prediction because of the advantages of simple application and high flexibility. Howev...

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Veröffentlicht in:	IEEE transactions on instrumentation and measurement 2021, Vol.70, p.1-10
Hauptverfasser:	Wang, Jianlin, Qiu, Kepeng, Wang, Rutong, Zhou, Xinjie, Guo, Yongqi
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Batch processes Batch processing Batch production systems Clustering algorithms Dynamic characteristics Fermentation fuzzy c-means (FCM) Indexes just-in-time learning (JITL) Kernel Kernels Machine learning Mathematical models multiphase Partitioning Partitioning algorithms Penicillin Phases relevance vector machine (RVM) Semiconductor device measurement Sensors soft sensor Support vector machines
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