NDLI: Research of Synthesized Fault Diagnose for Flat Wheel Detecting System

Content Provider	IEEE Xplore Digital Library
Author	Ping He Song Teng Yi Shen
Copyright Year	2006
Description	Author affiliation: Dept. of Control Sci. & Eng., Harbin Inst. of Technol. (Ping He; Song Teng; Yi Shen)
Abstract	Fault diagnosis (FD) has recently received considerable attention in industry and academia. In order to make a more accurate and more complete estimation and decision for the problem, an approach that is capable of overcoming the disadvantage of single FD methodology, and eliminating the system uncertainty is presented. This paper takes flat wheel detecting system as an example. First, the proposed method diagnoses the example system with model based parameter estimation and frequency spectrum analysis respectively according to groups of data, and the estimated parameters and power spectrum are taken as the index to make decision. Then, it makes final decision according to data fusion and statistic reasoning methods. The results show that the methodology is capable of making the right diagnosis according to experimental data
Starting Page	633
Ending Page	636
File Size	94577
Page Count	4
File Format	PDF
ISBN	0780393597
ISSN	10915281
DOI	10.1109/IMTC.2006.328656
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-04-24
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wheels Fault detection Parameter estimation Frequency estimation Springs Fault diagnosis Power system modeling Statistics System identification Information analysis information fusion fault diagnosis system identification frequency spectrum analysis
Content Type	Text
Resource Type	Article
Subject	Instrumentation Electrical and Electronic Engineering

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