Uncertainty Propagation of Missing Data Signals with the Interval Discrete Fourier Transform-Reference-Cited by-同舟云学术

Uncertainty Propagation of Missing Data Signals with the Interval Discrete Fourier Transform

Published:2023-09 Issue:3 Volume:9 Page:
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:

Behrendt Marco¹^ORCID,de Angelis Marco²^ORCID,Beer Michael³^ORCID

Affiliation:

1. Postdoctoral Fellow, Institute for Risk and Reliability, Leibniz Universität Hannover, 30167 Hannover, Germany (corresponding author). ORCID: .

2. Postdoctoral Fellow, Dept. of Civil and Environmental Engineering, Univ. of Strathclyde, Glasgow G1 1XQ, UK. ORCID: .

3. Professor and Head, Institute for Risk and Reliability, Leibniz Universität Hannover, 30167 Hannover, Germany; Institute for Risk and Uncertainty, Univ. of Liverpool, Liverpool L69 7ZF, UK; International Joint Research Center for Engineering Reliability and Stochastic Mechanics, Tongji Univ., Shanghai 200092, China. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

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

Link

https://ascelibrary.org/doi/pdf/10.1061/AJRUA6.RUENG-1048

Reference43 articles.

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2. Imprecise probabilities in engineering analyses

3. Behrendt M. M. de Angelis L. Comerford and M. Beer. 2022a. “Assessing the severity of missing data problems with the interval discrete Fourier transform algorithm.” In Proc. 32nd European Safety and Reliability Conference (ESREL 2022). Singapore: Research Publishing.

4. Projecting interval uncertainty through the discrete Fourier transform: An application to time signals with poor precision

5. Interval predictor models: Identification and reliability