The DOI matches its Crossref record.
An Introduction to Distributed Optical Fibre Sensors
Abstract
This book explains physical principles, unique benefits, broad categories, implementation aspects, and performance criteria of distributed optical fiber sensors (DOFS). For each kind of sensor, the book highlights industrial applications, which range from oil and gas production to power line monitoring, plant and process engineering, environmental monitoring, industrial fire and leakage detection, and so on. The text also includes a discussion of such key areas as backscattering, launched power limitations, and receiver sensitivity, as well as a concise historical account of the field’s development.
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
Cited by
Distributed sensing of earthquakes and ocean-solid Earth interactions on seafloor telecom cables
Sladen, A., Rivet, D., Ampuero, J. P., De Barros, L., Hello, Y., Calbris, G., & Lamare, P. (2019) · Nature Communications · doi:10.1038/s41467-019-13793-z · Cited by 404
Optical Fiber Sensors and Sensing Networks: Overview of the Main Principles and Applications
Pendão, C., & Silva, I. (2022) · Sensors · doi:10.3390/s22197554 · Cited by 305
A Review of Distributed Fibre Optic Sensors for Geo-Hydrological Applications
Schenato, L. (2017) · Applied Sciences · doi:10.3390/app7090896 · Cited by 267
Theory of phase transmission fibre-optic deformation sensing
Fichtner, A., Bogris, A., Nikas, T., Bowden, D., Lentas, K., Melis, N. S., Simos, C., Simos, I., & Smolinski, K. (2022) · Geophysical Journal International · doi:10.1093/gji/ggac237 · Cited by 29
Algorithm optimization for rockfalls alarm system based on fiber polarization sensing
Pellegrini, S., Rizzelli, G., Barla, M., & Gaudino, R. (2023) · IEEE Photonics Journal · doi:10.1109/jphot.2023.3281670 · Cited by 21
Metadata
- Authors
- Hartog, A. H.
- Venue
- CRC Press eBooks
- Publisher
- CRC Press
- Published
- 2017-05-25
- OpenAlex
- W2895786783
- Cited by
- 1,012
- References
- 0
- FWCI
- 27.61
- Type
- book
- 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: An Introduction to Distributed Optical Fibre Sensors. https://app.cochat.ai/papers/10.1201/9781315119014
- The paper
- Hartog, A. H. (2017). An Introduction to Distributed Optical Fibre Sensors. CRC Press eBooks. https://doi.org/10.1201/9781315119014
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.
