Name
Abstract | ||
|---|---|---|
Uncertainty analysis can be viewed as the activity that quantifies the range where the true value of a physical quantity lies. This aspect of measurement has been in use and given a paramount importance for many decades primarily by metrologists, instrumentation engineers, and practitioners who deal with measurement devices in carrying out their professional duties. In recent years, however, it has become increasingly important among design engineers from diverse fields of engineering to achieve high-quality designs of complex engineering systems. This paper introduces recent works that apply the techniques developed for measurement uncertainty evaluation to the design of reliable and robust engineering systems. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/MIM.2019.8674631 | IEEE Instrumentation & Measurement Magazine |
Keywords | Field | DocType |
Uncertainty,Reliability engineering,Design optimization,Probabilistic logic,Finite element analysis,Robustness | Physical quantity,Systems engineering,Measurement uncertainty,Robustness (computer science),Control engineering,Uncertainty analysis,Finite element method,Engineering design process,Engineering,Probabilistic logic | Journal |
Volume | Issue | ISSN |
22 | 2 | 1094-6969 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Arvind Rajan | 1 | 6 | 4.06 |
| Ye Chow Kuang | 2 | 72 | 19.81 |
| Melanie Po-Leen Ooi | 3 | 70 | 18.35 |
| Serge N. Demidenko | 4 | 84 | 19.38 |