Intelligent fault diagnosis in lead-zinc smelting process View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2007-04

AUTHORS

Wei-Hua Gui, Chun-Hua Yang, Jing Teng

ABSTRACT

According to the fault characteristic of the imperial smelting process (ISP), a novel intelligent integrated fault diagnostic system is developed. In the system fuzzy neural networks are utilized to extract fault symptom and expert system is employed for effective fault diagnosis of the process. Furthermore, fuzzy abductive inference is introduced to diagnose multiple faults. Feasibility of the proposed system is demonstrated through a pilot plant case study. More... »

PAGES

135-140

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11633-007-0135-z

DOI

http://dx.doi.org/10.1007/s11633-007-0135-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1009964313


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