A hybrid fuzzy-fractal approach for time series analysis and plant monitoring

被引：11

作者：

Castillo, O ^{[1
]}

Melin, P ^{[1
]}

机构：

[1] Tijuana Inst Technol, Dept Comp Sci, Chula Vista, CA 91909 USA

来源：

INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS | 2002年 / 17卷 / 08期

关键词：

Fuzzy sets - Knowledge representation - Nuclear power plants - Process control - Process engineering;

D O I：

10.1002/int.10048

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We describe in this article a new hybrid fuzzy-fractal approach for plant monitoring. We use the concept of the fractal dimension to measure the complexity of a time series of observed data from the plant. We also use fuzzy logic to represent expert knowledge on monitoring the process in the plant. In the hybrid fuzzy-fractal approach, a set of fuzzy if-then rules are used to classify different conditions of the plant. The fractal dimension is used as an input linguistic variable in the fuzzy system to improve the accuracy in the classification. An implementation of the proposed approach is shown to describe in more detail the method. (C) 2002 Wiley Periodicals, Inc.

引用

页码：751 / 765

页数：15

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