Review of data quality indicators and metrics, and suggestions for indicators and metrics for structural health monitoring
Abstract Structural Health Monitoring (SHM) systems have been extensively implemented to deliver data support and safeguard structural safety in structural integrity management context. SHM relies on data that can be noisy in large amounts or scarce. Little work has been done on SHM data quality (DQ...
Main Author: | Nisrine Makhoul |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2022-11-01
|
Series: | Advances in Bridge Engineering |
Subjects: | |
Online Access: | https://doi.org/10.1186/s43251-022-00068-9 |
Similar Items
-
Critical review of indicators, metrics, methods, and tools for monitoring and evaluation of biofortification programs at scale
by: Santiago Rodas-Moya, et al.
Published: (2022-10-01) -
Climate adaptation indicators and metrics: State of local policy practice
by: Sascha M. Goonesekera, et al.
Published: (2022-12-01) -
An Advanced Big Data Quality Framework Based on Weighted Metrics
by: Widad Elouataoui, et al.
Published: (2022-12-01) -
Effects of Leading Signals on Metrics of Control Quality Indicators
by: Richard Kephart, et al.
Published: (2023-05-01) -
Selection of Macroinvertebrate Indices and Metrics for Assessing Sediment Quality in the St. Lawrence River (QC, Canada)
by: Mélanie Desrosiers, et al.
Published: (2020-11-01)