Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data

Lawrence A. Bull, Paul Gardner, Timothy J. Rogers, Elizabeth J. Cross, Nikolaos Dervilis, Keith Worden

Open source

DOI: 10.1061/ajrua6.0001106
Published: 2021-03
Container: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Publisher: American Society of Civil Engineers (ASCE)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1061/ajrua6.0001106,
  title = {Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data},
  author = {Lawrence A. Bull and Paul Gardner and Timothy J. Rogers and Elizabeth J. Cross and Nikolaos Dervilis and Keith Worden},
  year = {2021},
  journal = {ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering},
  doi = {10.1061/ajrua6.0001106},
  url = {https://doi.org/10.1061/ajrua6.0001106}
}

RIS

TY  - JOUR
TI  - Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data
AU  - Lawrence A. Bull
AU  - Paul Gardner
AU  - Timothy J. Rogers
AU  - Elizabeth J. Cross
AU  - Nikolaos Dervilis
AU  - Keith Worden
PY  - 2021
JO  - ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
DO  - 10.1061/ajrua6.0001106
UR  - https://doi.org/10.1061/ajrua6.0001106
ER  -

APA

Bull, L. A., Gardner, P., Rogers, T. J., Cross, E. J., Dervilis, N., & Worden, K. (2021). Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. https://doi.org/10.1061/ajrua6.0001106

Source records

crossref · retrieved 2026-11-04T10:01:18.596Z