The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
The fundamental axioms of structural health monitoring
Abstract
Based on the extensive literature that has developed on structural health monitoring over the last 20 years, it can be argued that this field has matured to the point where several fundamental axioms, or gen eral principles, have emerged. The intention of this paper is to explicitly state and justify these axioms. In so doing, it is hoped that two subsequent goals are facilitated. First, the statement of such axioms will give new researchers in the field a starting point that alleviates the need to review the vast amounts of literature in this field. Second, the authors hope to stimulate discussion and thought within the community regarding these axioms.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Density Estimation for Statistics and Data Analysis
(1986) · Springer eBooks · doi:10.1007/978-1-4899-3324-9 · Cited by 8,525
Los Alamos National Lab., N. (. S., Doebling, S., USDOE, W., Farrar, C., Prime, M., & Shevitz, D. (1996) · doi:10.2172/249299 · Cited by 2,899 · cited 3×
“The technical literature is replete with anecdotal evidence that such lower frequency modes are not good indicators of local damage (Doebling et al. 1996; Sohn et al. 2004a).”
BackgroundSelf-citationFinite Element Model Updating in Structural Dynamics
Friswell, M. I., & Mottershead, J. E. (1995) · Solid Mechanics and its Applications · doi:10.1007/978-94-015-8508-8 · Cited by 2,452
Model Updating In Structural Dynamics: A Survey
Mottershead, J. E., & Friswell, M. I. (1993) · Journal of Sound and Vibration · doi:10.1006/jsvi.1993.1340 · Cited by 1,680
Overview of Piezoelectric Impedance-Based Health Monitoring and Path Forward
Park, G., Sohn, H., Farrar, C. R., & Inman, D. J. (2003) · The Shock and Vibration Digest · doi:10.1177/05831024030356001 · Cited by 1,060
Self-citationThe interaction of Lamb waves with defects
Alleyne, D. N., & Cawley, P. (1992) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/58.143172 · Cited by 890
DAMAGE DETECTION USING OUTLIER ANALYSIS
WORDEN, K., MANSON, G., & FIELLER, N. R. J. (2000) · Journal of Sound and Vibration · doi:10.1006/jsvi.1999.2514 · Cited by 619
Self-citationAn Overview of Intelligent Fault Detection in Systems and Structures
Worden, K., & Dulieu-Barton, J. M. (2004) · Structural Health Monitoring · doi:10.1177/1475921704041866 · Cited by 415
Self-citationNovelty detection and neural network validation
Bishop, C. M. (1994) · IEE Proceedings - Vision, Image, and Signal Processing · doi:10.1049/ip-vis:19941330 · Cited by 394
Damage localization in structures without baseline modal parameters
Stubbs, N., & Kim, J.-T. (1996) · AIAA Journal · doi:10.2514/3.13284 · Cited by 283
Cited by
Emerging Artificial Intelligence Methods in Structural Engineering
Salehi, H., & Burgueño, R. (2018) · Engineering Structures · doi:10.1016/j.engstruct.2018.05.084 · Cited by 1,068
Dealing with uncertainty in model updating for damage assessment: a review
Simoen, E., De Roeck, G., & Lombaert, G. (2015) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2014.11.001 · Cited by 540
Gorgin, R., Luo, Y., & Wu, Z. (2020) · Ultrasonics · doi:10.1016/j.ultras.2020.106114 · Cited by 285
Cross, E. J., Worden, K., & Chen, Q. (2011) · Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rspa.2011.0023 · Cited by 173
Self-citationStructural health monitoring with statistical methods during progressive damage test of S101 Bridge
Döhler, M., Hille, F., Mevel, L., & Rücker, W. (2014) · Engineering Structures · doi:10.1016/j.engstruct.2014.03.010 · Cited by 156
Metadata
- Authors
- Worden, K., Farrar, C. R., Manson, G., & Park, G.
- Venue
- Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
- Publisher
- The Royal Society
- Published
- 2007-04-03
- Volume
- 463
- Issue
- 2082
- Pages
- 1639-1664
- ISSN
- 1364-5021 (ISSN-L)
- 1471-2946
- OpenAlex
- W2124980071
- Cited by
- 522
- References
- 14
- FWCI
- 42.98
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The fundamental axioms of structural health monitoring. https://app.cochat.ai/papers/10.1098/rspa.2007.1834
- The paper
- Worden, K., Farrar, C. R., Manson, G., & Park, G. (2007). The fundamental axioms of structural health monitoring. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. https://doi.org/10.1098/rspa.2007.1834
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
