The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Structural Health Monitoring for Advanced Composite Structures: A Review
Open accessAbstract
Condition-based maintenance refers to the installation of permanent sensors on a structure/system. By means of early fault detection, severe damage can be avoided, allowing efficient timing of maintenance works and avoiding unnecessary inspections at the same time. These are the goals for structural health monitoring (SHM). The changes caused by incipient damage on raw data collected by sensors are quite small, and are usually contaminated by noise and varying environmental factors, so the algorithms used to extract information from sensor data need to focus on sensitive damage features. The developments of SHM techniques over the last 20 years have been more related to algorithm improvements than to sensor progress, which essentially have been maintained without major conceptual changes (with regards to accelerometers, piezoelectric wafers, and fiber optic sensors). The main different SHM systems (vibration methods, strain-based fiber optics methods, guided waves, acoustic emission, and nanoparticle-doped resins) are reviewed, and the main issues to be solved are identified. Reliability is the key question, and can only be demonstrated through a probability of detection (POD) analysis. Attention has only been paid to this issue over the last ten years, but now it is a growing trend. Simulation of the SHM system is needed in order to reduce the number of experiments.
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Cites
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Fibre Bragg gratings in structural health monitoring—Present status and applications
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Structural health monitoring for a wind turbine system: a review of damage detection methods
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Cited by
Structural Health Monitoring in Composite Structures: A Comprehensive Review
Hassani, S., Mousavi, M., & Gandomi, A. H. (2021) · Sensors · doi:10.3390/s22010153 · Cited by 258
Capineri, L., & Bulletti, A. (2021) · doi:10.20944/preprints202103.0347.v2 · Cited by 131
Structural Health Monitoring Damage Detection Systems for Aerospace
(2021) · Springer Aerospace Technology · doi:10.1007/978-3-030-72192-3 · Cited by 92
Hassani, S., Mousavi, M., & Gandomi, A. H. (2022) · Composite Structures · doi:10.1016/j.compstruct.2022.115243 · Cited by 31
Carani, L. B., Martin, T. D., Eze, V. O., & Okoli, O. I. (2022) · Sensors and Actuators A: Physical · doi:10.1016/j.sna.2022.113843 · Cited by 18
Metadata
- Authors
- Güemes, A., Fernandez-Lopez, A., Pozo, A. R., & Sierra-Pérez, J.
- Venue
- Journal of Composites Science
- Publisher
- MDPI AG
- Published
- 2020-01-27
- Volume
- 4
- Issue
- 1
- Pages
- 13
- ISSN
- 2504-477X (ISSN-L)
- OpenAlex
- W3001075887
- Cited by
- 298
- References
- 51
- FWCI
- 18.35
- Type
- journal article
- Language
- en
- Open access
- gold
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- Güemes, A., Fernandez-Lopez, A., Pozo, A. R., & Sierra-Pérez, J. (2020). Structural Health Monitoring for Advanced Composite Structures: A Review. Journal of Composites Science. https://doi.org/10.3390/jcs4010013
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.