More Web Proxy on the site http://driver.im/

Paper Titles

Amplifier Design on 16-Channel High-Frequency Current Drive
p.620

Design of Automatic Detection System for Temperature Sensor Based on LabVIEW
p.626

Design of a Multi-Mode Asymmetric Waveform Generator for FAIMS
p.631

Analysis of Displacement Monitoring Measurement in Tunnel Construction
p.635

Study on Fuzzy Inference Method for Fault Diagnosis Expert System
p.639

A Novel Preprocessing Method for Palm Vein
p.643

Research on Recognition of Pathological Voice by AD Tree
p.647

A Modified MUSIC Algorithm for DOA Estimation
p.652

The analysis of 3-Level Charge Pumping in SOHOS Flash Memory
p.658

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 658Study on Fuzzy Inference Method for Fault...

Study on Fuzzy Inference Method for Fault Diagnosis Expert System

Article Preview

Abstract:

In this paper, a new fuzzy inference method for fault diagnosis expert system is proposed. Firstly, fault antecedents were processed by lexical analysis including removing redundant vocabulary and word segmentation. Secondly, for the purpose of improving the precision of the inference, we used the membership degree, and defined the confidence level of antecedent and the confidence level of conclusion and the closeness degree of the knowledge base rules. Finally we gave the reasoning processes and algorithms.

You might also be interested in these eBooks

Materials and Manufacturing Research

Info:

Periodical:

Advanced Materials Research (Volume 658)

Pages:

639-642

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.658.639

Citation:

Cite this paper

Online since:

January 2013

Authors:

Xu Dong Song, Wei Shao, Zhan Zhi Qiu, Yan Xia Chen

Keywords:

Fault Diagnosis Expert System, Fuzzy Inference, Lexical Analysis

Export:

RIS, BibTeX

Price:

Permissions:

Request Permissions

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Zadeh L. A: Information Sciences , 8(2), (1974) , pp.199-249.

[2] WANG Taoa, LIU Yuanb, XIE Zhen-ping: Computer Engineering , 23 , (2011), pp.12-15.

[3] Wang Paizhuang, Zhang Hongmin: Journal of Beijing Normal University (Natural Science), 1, (1989), pp.19-20.

[4] Chen Y. Y: Fuzzy Systems and Mathematics, 1, (1987), pp.13-20.

[5] Ying Mingsheng: Cybernetics and Systems, 19, (1988), pp.281-293.

[6] Wu Wangming: Science and Technology Press, 3, (1994), pp.178-181.

[7] Cao Z. Q, Kandel. A: Fuzzy Sets and Systems, 31, (1989), pp.151-186.

[8] Wang Guo jun: Fuzzy systems and mathematics, 3, (1999), pp.1-10.