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Volume 24, Issue 9

September 2024

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ISSN 1530-9827

EISSN 1944-7078

In this Issue

Special Section: Digitalization and Automation of Energy Systems
Review Article
Research Papers

Special Section: Digitalization and Automation of Energy Systems

Data-Driven Online Prediction of Discharge Capacity and End-of-Discharge of Lithium-Ion Batteries

Junchuan Shi, Yupeng Wei, Dazhong Wu

J. Comput. Inf. Sci. Eng. September 2024, 24(9): 090901. doi: https://doi.org/10.1115/1.4063985

Abstract

View articletitled, Data-Driven Online Prediction of Discharge Capacity and End-of-Discharge of Lithium-Ion Batteries

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Topics: Batteries , Convolutional neural networks , Cycles , Lithium-ion batteries , Stress , Condition monitoring

Supply and Demand Balance Control Strategy for Microgrids Considering Uncertainty and Disturbance Based on Online $H^{\infty}$ Policy Iteration

Yang Liu, Zhanpeng Jiang, Zuoxia Xing, Hengyu Liu, Pengtao Li, Xingfan Han

J. Comput. Inf. Sci. Eng. September 2024, 24(9): 090902. doi: https://doi.org/10.1115/1.4064823

Abstracts

View articletitled, Supply and Demand Balance Control Strategy for Microgrids Considering Uncertainty and Disturbance Based on Online <span class="inline-formula no-formula-id"><span class="mathFormula"></span><math xmlns="http://www.w3.org/1998/Math/MathML"><msup xmlns=""><mrow><mi mathvariant="bold-italic">H</mi></mrow><mi mathvariant="normal">∞</mi></msup></math></span> Policy Iteration

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Topics: Microgrids , Supply and demand , Uncertainty , Energy storage , Stress , Simulation analysis , Turbines , Algorithms

Prediction of State of Charge for Lead-Acid Battery Based on LSTM-Attention and LightGBM

Yindong Shen, Yaru Ge

J. Comput. Inf. Sci. Eng. September 2024, 24(9): 090903. doi: https://doi.org/10.1115/1.4064666

Abstracts

View articletitled, Prediction of State of Charge for Lead-Acid Battery Based on LSTM-Attention and LightGBM

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Topics: Batteries , Lead-acid batteries , Machine learning , Errors , Temperature

Review Article

A Survey of Function Failure Identification and Propagation Analysis Methods for System Design

David Jensen, Douglas L. Van Bossuyt, Oladapo Bello, Bryan M. O’Halloran, Nikolaos Papakonstantinou

J. Comput. Inf. Sci. Eng. September 2024, 24(9): 090801. doi: https://doi.org/10.1115/1.4065630

Abstracts

View articletitled, A Survey of Function Failure Identification and Propagation Analysis Methods for System Design

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Topics: Design , Failure , Modeling , Simulation , Decision making , Safety , Risk , Flow (Dynamics)

Research Papers

Dynamic Sensor Selection for Efficient Monitoring of Coupled Multidisciplinary Systems

Negar Asadi, Seyede Fatemeh Ghoreishi

J. Comput. Inf. Sci. Eng. September 2024, 24(9): 091001. doi: https://doi.org/10.1115/1.4065607

Abstracts

View articletitled, Dynamic Sensor Selection for Efficient Monitoring of Coupled Multidisciplinary Systems

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Topics: Sensors , Particulate matter

An Enhanced Modeling Framework for Bearing Fault Simulation and Machine Learning-Based Identification With Bayesian-Optimized Hyperparameter Tuning

Ricardo Ortiz, Piedad Miranda-Chiquito, Angel Encalada-Davila, Luis E. Marquez, Christian Tutiven, Eleni Chatzi, Christian E. Silva

J. Comput. Inf. Sci. Eng. September 2024, 24(9): 091002. doi: https://doi.org/10.1115/1.4065777

Abstracts

View articletitled, An Enhanced Modeling Framework for Bearing Fault Simulation and Machine Learning-Based Identification With Bayesian-Optimized Hyperparameter Tuning

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Topics: Bearings , Modeling , Algorithms , Simulation , Signals , Machine learning , Machinery

A Trajectory Planning Method for Capture Operation of Space Robotic Arm Based on Deep Reinforcement Learning

Bing Yang Song, Jin Quan Li, Xiao Yu Liu, Guo Lei Wang

J. Comput. Inf. Sci. Eng. September 2024, 24(9): 091003. doi: https://doi.org/10.1115/1.4065814

Abstracts

View articletitled, A Trajectory Planning Method for Capture Operation of Space Robotic Arm Based on Deep Reinforcement Learning

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Topics: Algorithms , Deep reinforcement learning , Robotics , Trajectories (Physics) , Stability , Simulation

A Digital Twin-Based Method for Assembly Deviations Analysis

Junnan Zhi, Yanlong Cao, Tukun Li, Fan Liu, Jia Luo, Yanling Li, Xiangqian Jiang

J. Comput. Inf. Sci. Eng. September 2024, 24(9): 091004. doi: https://doi.org/10.1115/1.4065882

Abstracts

View articletitled, A Digital Twin-Based Method for Assembly Deviations Analysis

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Topics: Manufacturing , Digital twin

Learning to Allocate Time-Bound and Dynamic Tasks to Multiple Robots Using Covariant Attention Neural Networks

Steve Paul, Souma Chowdhury

J. Comput. Inf. Sci. Eng. September 2024, 24(9): 091005. doi: https://doi.org/10.1115/1.4065883

Abstracts

View articletitled, Learning to Allocate Time-Bound and Dynamic Tasks to Multiple Robots Using Covariant Attention Neural Networks

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Topics: Robots , Multi-robot systems , Graph neural networks

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Special Section: Digitalization and Automation of Energy Systems

Data-Driven Online Prediction of Discharge Capacity and End-of-Discharge of Lithium-Ion Batteries

Supply and Demand Balance Control Strategy for Microgrids Considering Uncertainty and Disturbance Based on Online $H^{\infty}$ Policy Iteration

Prediction of State of Charge for Lead-Acid Battery Based on LSTM-Attention and LightGBM

Review Article

A Survey of Function Failure Identification and Propagation Analysis Methods for System Design

Research Papers

Dynamic Sensor Selection for Efficient Monitoring of Coupled Multidisciplinary Systems

An Enhanced Modeling Framework for Bearing Fault Simulation and Machine Learning-Based Identification With Bayesian-Optimized Hyperparameter Tuning

A Trajectory Planning Method for Capture Operation of Space Robotic Arm Based on Deep Reinforcement Learning

A Digital Twin-Based Method for Assembly Deviations Analysis

Learning to Allocate Time-Bound and Dynamic Tasks to Multiple Robots Using Covariant Attention Neural Networks

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