Process Feature Change Recognition Based on Model Performance Monitoring and Adaptive Model Correction for the Gold Cyanidation Leaching Process

Process Feature Change Recognition Based on Model Performance Monitoring and Adaptive Model Correction for the Gold Cyanidation Leaching Process

The gold cyanidation leaching process (GCLP) is the central unit operation in hydrometallurgy, and satisfactory gold recovery is highly significant in practice. However, GCLP faces the challenge of an irregular slow time-varying feature (STVF), which seriously affects gold recovery, and blind treatm...

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Bibliographic Details
Main Authors: Dakuo He, Zhengsong Wang, Qing Liu, Jiahui Shi, Le Yang, Qingkai Wang, Jianjun Zhao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Gold cyanidation leaching process
model-based principal component analysis
process feature change recognition
adaptive model correction
Online Access:https://ieeexplore.ieee.org/document/8626186/

Internet

https://ieeexplore.ieee.org/document/8626186/

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