Name
Abstract | ||
|---|---|---|
Many of the algorithms used for structural health monitoring (SHM) are based on, or motivated by, time series analysis. Quite often, detection methods are variants of approaches developed within the statistical process control (SPC) community. Many of the algorithms used represent mature theory and have a rigorous probabilistic or mathematical basis. However, one of the main issues facing SHM prac... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/JPROC.2016.2573596 | Proceedings of the IEEE |
Keywords | Field | DocType |
Market research,Time series analysis,Structural engineering,Monitoring,Algorithm design and analysis,Bayes methods,Frequency measurement | Data mining,Time series,Cointegration,Algorithm design,Structural health monitoring,Statistical process control,Probabilistic logic,Engineering,Bayesian probability | Journal |
Volume | Issue | ISSN |
104 | 8 | 0018-9219 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Keith Worden | 1 | 8 | 2.35 |
| Tara Baldacchino | 2 | 24 | 2.73 |
| J. Rowson | 3 | 0 | 1.01 |
| Elizabeth J. Cross | 4 | 0 | 0.68 |