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Author Pui Shan Lee ♦ Dexter, A.L.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2001
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Fault diagnosis ♦ Temperature sensors ♦ Temperature measurement ♦ Redundancy ♦ Training data ♦ Sensor phenomena and characterization ♦ Position measurement ♦ Sensor systems ♦ Measurement uncertainty ♦ Mathematical model
Abstract Describes a fuzzy approach for rule-based fault diagnosis in the presence of sensor bias. The causes of sensor bias and its effect on fault diagnosis schemes are presented. The consequences of assuming that the bias is uniform and varying are compared and contrasted. A fuzzy model-based fault diagnosis scheme is modified to take account of varying sensor bias. The proposed scheme is applied to an air-conditioning system. Results are presented that show that better diagnostic results are obtained than when a constant worst-case value of the bias is assumed.
Description Author affiliation: Dept. of Eng. Sci., Oxford Univ., UK (Pui Shan Lee; Dexter, A.L.)
ISBN 078037293X
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2001-12-02
Publisher Place Australia
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 482.64 kB
Page Count 4
Starting Page 1585
Ending Page 1588


Source: IEEE Xplore Digital Library