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Salvatore Guaiana

Also published under: S. Guaiana

Publications

Citations

336

Publications by Year

20142024

Co-Authors:

Davide AloisioVincenzo AntonucciG. ArtaleManel Ben-RomdhaneFederico Bonafini

Show All Co-Authors (34)

Salvatore Guaiana

Also published under: S. Guaiana

Affiliation

Institute of Marine Engineering

National Research Council

Palermo, Italy

Publication Topics

Microgrid,
Smart Grid,
Distribution Network,
Distribution System Operator,
Power Grid,
Power System,
Communication Systems,
Experimental Tests,
Observation Window,
Power Line Communication,
Power Quality,
Sampling Frequency

Biography

Salvatore Guaiana received the M.S. degree in electronics and fotonics engineering from the University of Palermo in 2012.,He is currently pursuing the Ph.D. degree with the Department of Energy, Information Engineering and Mathematic Models, University of Palermo.,His current research interests include power line communications, development of microcontroller systems and communications protocols for smart grids applications.(Based on document published on 12 July 2017).

Publications

Citations

336

Publications by Year

20142024

Co-Authors:

Davide Aloisio
Vincenzo Antonucci
G. Artale
Manel Ben-Romdhane
Federico Bonafini

Show All Co-Authors (34)

Author's Published Works

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Mengqi Zhang(3)
Chengang Lyu(2)
Xiaojiao Lin(2)
Baihua Li(1)
Yage Liu(1)
School of Electrical and Information Engineering, Tianjin University, Tianjin, China(2)
Department of Vehicle Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China(1)
Jiangsu Engineering Research Center of Vehicle Distributed Drive and Intelligent Wire Control Technology, Nanjing, China(1)
Department of Computer Science, Loughborough University, Loughborough, U.K(1)
IEEE Sensors Journal(2)
IEEE Transactions on Intelligent Transportation Systems(1)
IEEE(3)
Convolution Kernel(2)
Feature Maps(2)
Industrial Environment(2)
Industrial Internet Of Things(2)
Leak Detection(2)

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A Multi-Vehicle Self-Organized Cooperative Control Strategy for Platoon Formation in Connected Environment

Mengqi Zhang;Chunyan Wang;Wanzhong Zhao;Jinqiang Liu;Ziyu Zhang

IEEE Transactions on Intelligent Transportation Systems

Year: 2025 | Volume: 26, Issue: 3 | Journal Article |

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Aiming at the problem of low merging efficiency, poor platoon stability, and high collision risk when multiple connected and automated vehicles merge into the same target platoon, we propose a multi-vehicle self-organized cooperative control strategy for platoon formation, which includes vehicle self-organizing formation control and platoon cooperative merging control. The vehicle self-organizing ...Show More

A Multi-Vehicle Self-Organized Cooperative Control Strategy for Platoon Formation in Connected Environment

Mengqi Zhang;Chunyan Wang;Wanzhong Zhao;Jinqiang Liu;Ziyu Zhang

IEEE Transactions on Intelligent Transportation Systems

Year: 2025 | Volume: 26, Issue: 3 | Journal Article |

Improved Leakage Detection Generalization Ability for Multiscenes Deployment in Industry

Chengang Lyu;Xiaojiao Lin;Mengqi Zhang;Chunfeng Ge;Jiachen Yang

IEEE Sensors Journal

Year: 2023 | Volume: 23, Issue: 9 | Journal Article |

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In the unattended industrial environment, the piping leakage detection algorithm based on the combination of image detection and machine learning has the advantages of high sensitivity and reliability. However, there are some problems in the practical application, such as a large number of industrial leakage scenes to be detected, a big spatial feature gap between the deployed scenes and the undep...Show More

Improved Leakage Detection Generalization Ability for Multiscenes Deployment in Industry

Chengang Lyu;Xiaojiao Lin;Mengqi Zhang;Chunfeng Ge;Jiachen Yang

IEEE Sensors Journal

Year: 2023 | Volume: 23, Issue: 9 | Journal Article |

High Reliability Pipeline Leakage Detection Based on Machine Vision in Complex Industrial Environment

Chengang Lyu;Mengqi Zhang;Baihua Li;Yage Liu;Xiaojiao Lin

IEEE Sensors Journal

Year: 2022 | Volume: 22, Issue: 21 | Journal Article |

Cited by: Papers (7)

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The vision-based pipeline leakage detection is an intelligent leak detection method based on the industrial Internet of Things monitoring platform. It has the advantages of high safety factor and detection visualization. However, in the actual complex industrial environment, there are some problems, such as environmental interference and transmission quality of sensing networks. These low-quality ...Show More

High Reliability Pipeline Leakage Detection Based on Machine Vision in Complex Industrial Environment

Chengang Lyu;Mengqi Zhang;Baihua Li;Yage Liu;Xiaojiao Lin

IEEE Sensors Journal

Year: 2022 | Volume: 22, Issue: 21 | Journal Article |

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