A methodology to assure measurement data quality for key engineering materials
Article
Article Title | A methodology to assure measurement data quality for key engineering materials |
---|---|
ERA Journal ID | 40869 |
Article Category | Article |
Authors | Su, Ying (Author), Huang, Jinghua (Author) and Al-Hakim, Latif (Author) |
Editors | Wu, Yanwen |
Journal Title | Advanced Materials Research |
Journal Citation | 108-111 (1), pp. 972-978 |
Number of Pages | 7 |
Year | 2010 |
Place of Publication | Stafa-Zurich, Switzerland |
ISSN | 1022-6680 |
1662-8985 | |
Digital Object Identifier (DOI) | https://doi.org/10.4028/www.scientific.net/AMR.108-111.972 |
Abstract | Purpose – Only limited attention has been paid to the issue of Measurement Data Quality (MDQ) in a metrology context. To address this critique of the literature a methodology to assure MDQ was proposed. |
Keywords | accuracy; precision; data quality; decision making process |
ANZSRC Field of Research 2020 | 401699. Materials engineering not elsewhere classified |
350715. Quality management | |
461305. Data structures and algorithms | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Institute of Scientific and Technical Information of China, China |
Tsinghua University, China | |
School of Management and Marketing | |
Event | AMT 2010: 1st International Conference on Advanced Measurement and Test (AMT 2010) |
Event Details | AMT 2010: 1st International Conference on Advanced Measurement and Test (AMT 2010) Event Date 15 to end of 16 May 2010 Event Location Sanya, China |
https://research.usq.edu.au/item/q03w5/a-methodology-to-assure-measurement-data-quality-for-key-engineering-materials
1848
total views13
total downloads0
views this month0
downloads this month