INTELLIGENT FAULT DIAGNOSIS IN LEAD-ZINC SMELTING PROCESS

机译：铅锌冶炼过程中的智能故障诊断

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摘要

According to the fault characteristic of the Imperial smelting process (ISP), a novel intelligent integrated fault diagnostic system is developed. Where Fuzzy neural networks are utilized to extracting 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.

机译：根据英制冶炼过程中的故障特征，开发了一种新型的智能综合故障诊断系统。利用模糊神经网络提取故障症状，并采用专家系统对过程进行有效的故障诊断。此外，引入了模糊归纳推理来诊断多个故障。拟议的系统的可行性通过工厂试点案例研究得到证明。

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来源
《International Federation of Automatic Control(IFAC) Symposium on Fault Detection, Supervision and Safety of Technical Processes(SAFEPROCESS 2006); 20060830-0901; Beijing(CN)》|2006年|P.234-239|共6页
会议地点 Beijing(CN)
作者
Weihua Gui; Chunhua Yang; Jing Teng; Wenning Yu;
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作者单位

School of Information Science Engineering, Central South University, Changsha, 410083, P. R.. China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类监视、报警、故障诊断系统;
关键词
fault diagnosis; fuzzy logic; expert system; neural network; inference;

机译：故障诊断;模糊逻辑;专家系统;神经网络;推理;

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INTELLIGENT FAULT DIAGNOSIS IN LEAD-ZINC SMELTING PROCESS

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