Data-Driven Predictive Maintenance for Gas Distribution Networks-Reference-Cited by-同舟云学术

Data-Driven Predictive Maintenance for Gas Distribution Networks

Published:2022-06 Issue:2 Volume:8 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:

Betz Wolfgang¹^ORCID,Papaioannou Iason²,Zeh Tobias³,Hesping Dominik⁴,Krauss Tobias³,Straub Daniel⁵^ORCID

Affiliation:

1. Eracons GmbH, Oberanger 42, München 80331, Germany (corresponding author). ORCID: .

2. Eracons GmbH, Oberanger 42, München 80333, Germany; Engineering Risk Analysis Group, Technische Universität München, München 80333, Germany.

3. Netze BW GmbH, Schelmenwasenstraße 15, Stuttgart 70567, Germany.

4. Eracons GmbH, Oberanger 42, München 80331, Germany.

5. Professor, Eracons GmbH, Oberanger 42, München 80331, Germany; Engineering Risk Analysis Group, Technische Universität München, München 80333, Germany. 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/AJRUA6.0001237

Reference58 articles.

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2. Estimation of small failure probabilities in high dimensions by subset simulation

3. Short-Term Line Maintenance Scheduling of Distribution Network With PV Penetration Considering Uncertainties

4. Forecasting fault events for predictive maintenance using data-driven techniques and ARMA modeling

5. Bayesian inference with reliability methods without knowing the maximum of the likelihood function

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