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

Compare Michele; Baraldi Piero; Marelli Paolo; Zio Enrico

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

机译：用于燃气传输网络的最佳操作的部分可观察的马尔可夫决策过程

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摘要

We develop a decision-support framework based on Partially Observable Markov Decision Processes (POMDPs) for the management of Gas Transmission Networks (GTNs) operations, encoding realistic degradation state estimations provided by Prognostics and Health Management (PHM) systems, while considering demand variations and the effects of the management decisions on the GTN degradation evolution. This Operation and Maintenance (O&M) framework allows optimally operating a GTN. Furthermore, the economic impact of using PHM systems with different accuracy levels can be estimated. The approach is shown with reference to a GTN of the literature.

机译：我们基于部分可观察的马尔可夫决策过程（POMDPS）制定一个决策支持框架，用于管理天然气传输网络（GTNS）操作，编码由预后和健康管理（PHM）系统提供的现实降级状态估计，同时考虑需求变化和管理决策对GTN劣化演化的影响。该操作和维护（O＆M）框架允许最佳操作GTN。此外，可以估计使用具有不同精度水平的PHM系统的经济影响。该方法是参考文献的GTN示出。

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《Reliability Engineering & System Safety》 |2020年第7期|106893.1-106893.14|共14页
作者
Compare Michele; Baraldi Piero; Marelli Paolo; Zio Enrico;
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作者单位

Politecn Milan Dept Energy Milan Italy|Aramis Srl Zafferana Etnea Italy;

Politecn Milan Dept Energy Milan Italy;

Politecn Milan Dept Energy Milan Italy;

Politecn Milan Dept Energy Milan Italy|Aramis Srl Zafferana Etnea Italy|PSL Res Univ CRC MINES ParisTech Sophia Antipolis France|Kyung Hee Univ Coll Engn Dept Nucl Engn Seoul South Korea;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
Partially observable Markov decision Processes; Prognostics and health management; Degradation state estimation errors; Gas transmission network;

机译：部分观察到的马尔可夫决策过程;预后和健康管理;降解状态估计误差;燃气传输网络;

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1. The Optimal Observability of Partially Observable Markov Decision Processes: Discrete State Space [J] . Rezaeian M.Vo B.-N.Evans J. S. Automatic Control, IEEE Transactions on . 2010,第12期

机译：部分可观马尔可夫决策过程的最优可观性：离散状态空间
2. Partially Observable Markov Decision Process-Based Transmission Policy over Ka-Band Channels for Space Information Networks [J] . Jian Jiao, Xindong Sui, Shushi Gu, Entropy . 2017,第10期

机译：基于部分可观马尔可夫决策过程的Ka信道上基于空间信息网络的传输策略
3. Employing decomposable partially observable Markov decision processes to control gene regulatory networks [J] . Erdogdu Utku, Polat Faruk, Alhajj Reda Artificial intelligence in medicine . 2017,第nova期

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4. Optimality conditions for total-cost Partially Observable Markov Decision Processes [C] . Feinberg E.A., Kasyanov P.O., Zgurovsky M.Z. IEEE Annual Conference on Decision and Control . 2013

机译：总成本部分可观马尔可夫决策过程的最优性条件
5. Modern Methods of Hidden Markov Models and Partially Observable Markov Decision Processes in Biostatistics [D] . Xu, Zekun. 2020

机译：隐藏马尔可夫模型的现代方法和止痛性的部分可观察马尔可夫决策过程
6. Decision Making Under Uncertainty: A Neural Model Based on Partially Observable Markov Decision Processes [O] . Rajesh P. N. Rao 2010

机译：不确定性下的决策：基于部分可观察的马尔可夫决策过程的神经模型
7. On The Average Cost Optimality Equation And The Structure Of Optimal Policies For Partially Observable Markov Decision Processes [O] . Emmanuel Fernández-Gaucherand, Aristotle Arapostathis, Steven I. Marcus 2007

机译：部分可观察的马尔可夫决策过程的平均成本最优方程和最优策略的结构

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

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