Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data-Reference-Cited by-同舟云学术

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

Published:2021-03 Issue:1 Volume:7 Page:03120003
ISSN:2376-7642
Container-title:ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
language:en
Short-container-title:ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

Author:

Bull Lawrence A.¹^ORCID,Gardner Paul²^ORCID,Rogers Timothy J.²^ORCID,Cross Elizabeth J.³^ORCID,Dervilis Nikolaos⁴,Worden Keith⁵

Affiliation:

1. Dept. of Mechanical Engineering, Univ. of Sheffield, Mappin St., Sheffield S1 3JD, UK (corresponding author). ORCID: .

2. Dept. of Mechanical Engineering, Univ. of Sheffield, Mappin St., Sheffield S1 3JD, UK. ORCID: .

3. Professor, Dept. of Mechanical Engineering, Univ. of Sheffield, Mappin St., Sheffield S1 3JD, UK. ORCID: .

4. Dept. of Mechanical Engineering, Univ. of Sheffield, Mappin St., Sheffield S1 3JD, UK.

5. Professor, Dept. of Mechanical Engineering, Univ. of Sheffield, Mappin St., Sheffield S1 3JD, UK.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

Reference71 articles.

4. Bull L. A. 2019a. “Towards probabilistic and partially-supervised structural health monitoring.” Ph.D. thesis Univ. of Sheffield.

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