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Fault Diagnosis Method for Hydrometallurgical Leaching Process Based on Improved Dynamic Causal Diagram.

Authors :
XUE Haili
LI Xiaomin
Source :
Hydrometallurgy of China; Apr2024, Vol. 43 Issue 2, p201-205, 5p
Publication Year :
2024

Abstract

Aiming at the complexity of existing hydrometallurgical process mechanism and the poor accuracy of existing leaching process fault diagnosis methods, an improved dynamic causal diagram was studied to diagnose hydrometallurgical leaching process faults. The dynamic causal diagram was optimized and improved mainly by binary interval number, and the upper and lower limit of conditional probability were weighted to realize the fault diagnosis of hydrometallurgical leaching process. The results show that the fault diagnosis method is more accurate than the conventional method, and can diagnose the faults of leaching process more accurately. [ABSTRACT FROM AUTHOR]

Details

Language :
Chinese
ISSN :
10092617
Volume :
43
Issue :
2
Database :
Complementary Index
Journal :
Hydrometallurgy of China
Publication Type :
Academic Journal
Accession number :
176534662
Full Text :
https://doi.org/10.13355/j.cnki.sfyj.2024.02.015