4.7 Article

A systematic method for the optimization of gas supply reliability in natural gas pipeline network based on Bayesian networks and deep reinforcement learning

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Engineering, Industrial

A discrete-time Bayesian network approach for reliability analysis of dynamic systems with common cause failures

Yongjin Guo et al.

Summary: The study proposes a reliability analysis model for dynamic systems with common cause failures based on discrete-time Bayesian networks, which investigates the impact of common cause failures on system reliability and calculates reliability through a Bayesian inference mechanism. The model is applied to a digital safety-level distributed control system in nuclear power plants, demonstrating the effectiveness and feasibility of the method.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2021)

Article Energy & Fuels

A self-adaptive deep learning algorithm for intelligent natural gas pipeline control

Tao Zhang et al.

Summary: The paper proposes a simplified pipeline control scenario for natural gas pipelines, which establishes a direct relevance between compressor operations and the inlet flux at certain stations as the main dispatch logic to accelerate management and decision-making processes. The deep learning algorithm has been proven to be effective and reliable in predicting pipeline operation status.

ENERGY REPORTS (2021)

Article Engineering, Industrial

An integrated gas supply reliability evaluation method of the large-scale and complex natural gas pipeline network based on demand-side analysis

Weichao Yu et al.

Summary: This study proposes an integrated method based on demand-side analysis to assess the supply reliability of large-scale and complex natural gas pipeline networks. By analyzing market demand and user importance, the feasibility of the method is confirmed and suggestions for improving supply reliability are provided.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2021)

Article Engineering, Industrial

Integration of simulation and Markov Chains to support Bayesian Networks for probabilistic failure analysis of complex systems

Ahmed El-Awady et al.

Summary: The development of failure analysis techniques for complex engineering systems faces challenges due to interrelations and uncertainty. Bayesian Networks provide a flexible way to represent such systems probabilistically. Proposed methodologies such as SSBNs and MCSSBNs support efficient prediction of failure probabilities for complex networks with multiple uncertain interconnected variables.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2021)

Article Engineering, Industrial

Partially observable Markov decision processes for optimal operations of gas transmission networks

Michele Compare et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)

Article Management

Exact solution algorithms for the maximum flow problem with additional conflict constraints

Zeynep Suvak et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2020)

Review Engineering, Industrial

Bayesian Network Modelling for the Wind Energy Industry: An Overview

Tosin Adedipe et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)

Article Computer Science, Interdisciplinary Applications

Structural optimization considering dynamic reliability constraints via probability density evolution method and change of probability measure

Jianbing Chen et al.

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2020)

Article Engineering, Industrial

An integrated methodology for the supply reliability analysis of multi-product pipeline systems under pumps failure

Xingyuan Zhou et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)

Article Engineering, Industrial

A dependency bounds analysis method for reliability assessment of complex system with hybrid uncertainty

Yufei Song et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)

Article Computer Science, Hardware & Architecture

An efficient multiple shortest augmenting paths algorithm for constructing high performance VLSI subarray

Junyan Qian et al.

INTEGRATION-THE VLSI JOURNAL (2020)

Article Engineering, Industrial

Deep reinforcement learning for condition-based maintenance planning of multi-component systems under dependent competing risks

Nailong Zhang et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)

Review Engineering, Industrial

Maintenance optimization and inspection planning of wind energy assets: Models, methods and strategies

Mahmood Shafiee et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2019)

Article Engineering, Industrial

Optimal allocation of prognostics and health management capabilities to improve the reliability of a power transmission network

Michele Compare et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2019)

Review Energy & Fuels

Reinforcement learning for demand response: A review of algorithms and modeling techniques

Jose R. Vazquez-Canteli et al.

APPLIED ENERGY (2019)

Article Computer Science, Interdisciplinary Applications

Modeling for reliability optimization of system design and maintenance based on Markov chain theory

Yixin Ye et al.

COMPUTERS & CHEMICAL ENGINEERING (2019)

Article Engineering, Multidisciplinary

A continuous-time Markov chain model for redundancy allocation problem: An economic analysis

Hossein Tohidi et al.

QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL (2019)

Article Engineering, Chemical

An optimization of artificial neural network modeling methodology for the reliability assessment of corroding natural gas pipelines

Kai Wen et al.

JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES (2019)

Review Computer Science, Hardware & Architecture

A review of reinforcement learning for autonomous building energy management

Karl Mason et al.

COMPUTERS & ELECTRICAL ENGINEERING (2019)

Article Energy & Fuels

Supply adequacy assessment of the gas pipeline system based on the Latin hypercube sampling method under random demand

Qian Chen et al.

JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING (2019)

Article Engineering, Environmental

Multi-level optimization of maintenance plan for natural gas system exposed to deterioration process

Ahmad BahooToroody et al.

JOURNAL OF HAZARDOUS MATERIALS (2019)

Article Engineering, Environmental

A condition monitoring based signal filtering approach for dynamic time dependent safety assessment of natural gas distribution process

Ahmad BahooToroody et al.

PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2019)

Article Engineering, Chemical

On reliability challenges of repairable systems using hierarchical bayesian inference and maximum likelihood estimation

Ahmad BahooToroody et al.

PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2019)

Article Engineering, Ocean

Reliability assessment of marine floating structures using Bayesian network

Mohammad Mahdi Abaei et al.

APPLIED OCEAN RESEARCH (2018)

Article Engineering, Industrial

A methodology to quantify the gas supply capacity of natural gas transmission pipeline system using reliability theory

Weichao Yu et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2018)

Article Engineering, Industrial

Optimal allocation of reliability improvement target based on the failure risk and improvement cost

Kyungmee O. Kim et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2018)

Article Engineering, Industrial

Dynamic reliability modeling for system analysis under complex load

Xiaoqiang Zhang et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2018)

Article Engineering, Mechanical

Probabilistic analysis of corroded pipelines based on a new failure pressure model

Yi Shuai et al.

ENGINEERING FAILURE ANALYSIS (2017)

Article Green & Sustainable Science & Technology

The gas supply reliability analysis of natural gas pipeline network based on simplified topological structure

Mu-Wei Fan et al.

JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY (2017)

Article Engineering, Industrial

Reliability model of a component equipped with PHM capabilities

Michele Compare et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2017)

Article Engineering, Industrial

Portfolio optimization of safety measures for reducing risks in nuclear systems

A. Mancuso et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2017)

Article Computer Science, Information Systems

A maximum flow algorithm based on storage time aggregated graph for delay-tolerant networks

Hongyan Li et al.

AD HOC NETWORKS (2017)

Article Green & Sustainable Science & Technology

Evaluating China's natural gas supply security based on ecological network analysis

Faheemullah Shaikh et al.

JOURNAL OF CLEANER PRODUCTION (2016)

Article Engineering, Industrial

Probabilistic modelling of security of supply in gas networks and evaluation of new infrastructure

Pavel Praks et al.

RELIABILITY ENGINEERING & SYSTEM SAFETY (2015)

Article Computer Science, Artificial Intelligence

Autonomous reinforcement learning with experience replay

Pawel Wawrzynski et al.

NEURAL NETWORKS (2013)

Article Energy & Fuels

Network flows modeling applied to the natural gas pipeline in Brazil

Claudemir Duca Vasconcelos et al.

JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING (2013)

Article Computer Science, Artificial Intelligence

Experience Replay for Real-Time Reinforcement Learning Control

Sander Adam et al.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS (2012)

Article Computer Science, Theory & Methods

A push-relabel approximation algorithm for approximating the minimum-degree MST problem and its generalization to matroids

Kamalika Chaudhuri et al.

THEORETICAL COMPUTER SCIENCE (2009)