Methods of fault diagnosis

被引：92

作者：

Leonhardt, S

Ayoubi, M

机构：

来源：

CONTROL ENGINEERING PRACTICE | 1997年 / 5卷 / 05期

关键词：

pattern recognition; Bayes classifier; nearest neighbour; polynomial classification; neural networks; fuzzy logic; neuro-fuzzy systems;

D O I：

10.1016/S0967-0661(97)00050-6

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper gives a summary of methods that can be applied to automatic fault diagnosis. In the beginning, the focus is on classification and diagnostic reasoning using fuzzy logic. Subsequently, some of the ideas which have led to the emerging neuro-fuzzy algorithms are discussed. Finally, a new neuro-fuzzy algorithm which has recently been developed, is briefly described. Copyright (C) 1997 Elsevier Science Ltd.

引用

页码：683 / 692

页数：10

共 35 条

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