NDLI: Diagnosis for Systematic Errors Using Grey System Theory

Content Provider	IEEE Xplore Digital Library
Author	Xia Xintao
Copyright Year	2007
Description	Author affiliation: Henan Univ. of Sci. & Technol., Luoyang (Xia Xintao)
Abstract	It is very important to diagnose systematic errors for improving working performance of manufacture systems. At present, many methods of diagnosis for systematic errors require the certain probability distribution and a great deal of data, primarily based on statistics. Therefore a method using grey relational analysis is proposed to resolve the problem. This method can diagnose systematic errors only with small sample, without special requirements for probability distribution. The concepts, grey confidence level, grey difference, weighting coefficient and weighting function mapping, are defined to test reliability of the diagnosis results. This method is validated by computer simulation and engineering experiments. And the grey confidence level is proved to be 95%.
Starting Page	130
Ending Page	134
File Size	181687
Page Count	5
File Format	PDF
ISBN	9787811240559
DOI	10.1109/CHICC.2006.4346860
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Error analysis Control systems Educational institutions Probability distribution Systematic Errors Manufacturing processes Production Grey Relational Analysis Computer errors Manufacture System Error correction Diagnosis Mathematical model Virtual manufacturing
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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