Symbolic computation for evaluation of measurement uncertainty

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/1659

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DC Field	Value	Language
dc.contributor.author	Wei, P	-
dc.contributor.author	Yang, QP	-
dc.contributor.author	Salleh, MR	-
dc.contributor.author	Jones, BE	-
dc.coverage.spatial	4	en
dc.date.accessioned	2008-02-15T16:12:27Z	-
dc.date.available	2008-02-15T16:12:27Z	-
dc.date.issued	2007	-
dc.identifier.citation	IEEE Instrumentation and Measurement Technology Conference, Warsaw, May 2007, pp. 50	en
dc.identifier.isbn	1-4244-0588-2	-
dc.identifier.issn	1091-5281	-
dc.identifier.uri	http://bura.brunel.ac.uk/handle/2438/1659	-
dc.description.abstract	In recent years, with the rapid development of symbolic computation, the integration of symbolic and numeric methods is increasingly applied in various applications. This paper proposed the use of symbolic computation for the evaluation of measurement uncertainty. The general method and procedure are discussed, and its great potential and powerful features for measurement uncertainty evaluation has been demonstrated through examples.	en
dc.format.extent	1399075 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	IEEE	en
dc.subject	Evaluation of measurement uncertainty	en
dc.subject	Symbolic computation	en
dc.subject	Numeric computation	en
dc.title	Symbolic computation for evaluation of measurement uncertainty	en
dc.type	Conference Paper	en
dc.identifier.doi	http://dx.doi.org/10.1109/IMTC.2007.379417	-
Appears in Collections:	Advanced Manufacturing and Enterprise Engineering (AMEE) Dept of Mechanical and Aerospace Engineering Research Papers

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