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  1. Ansatte

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Peihua Han

Last ned pressefoto
Last ned pressefoto
Foto:

Peihua Han

Forsker
Institutt for havromsoperasjoner og byggteknikk
Fakultet for ingeniørvitenskap

peihua.han@ntnu.no
48612975 Ankeret, Ålesund
Google Scholar
Publikasjoner Undervisning Formidling

Publikasjoner

  • Kronologisk
  • Etter kategori
  • Se alle publikasjoner i Cristin

2025

  • Zhu, Mingda; Han, Peihua; Landsverk, Ronny; Strandene, Jan Christian Bjerke; Hagen, Daniel; Zhou, Jing. (2025) A Data-driven Approach to Payload Heave Motion Prediction under Irregular Waves. IEEE conference proceedings
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

2024

  • Tian, Weiwei; Zhu, Mingda; Han, Peihua; Li, Guoyuan; Zhang, Houxiang. (2024) Pairwise ship encounter identification and classification for knowledge extraction. Ocean Engineering
    Vitenskapelig artikkel
  • Zhu, Mingda; Han, Peihua; Tian, Weiwei; Skulstad, Robert; Zhang, Houxiang; Li, Guoyuan. (2024) A Deep Generative Model for Multi-Ship Trajectory Forecasting With Interaction Modeling. Journal of Offshore Mechanics and Arctic Engineering
    Vitenskapelig artikkel
  • Zhu, Mingda; Han, Peihua; Wang, Chunlin; Skulstad, Robert; Zhang, Houxiang; Li, Guoyuan. (2024) An AIS Data-Driven Hybrid Approach to Ship Trajectory Prediction. IEEE Transactions on Systems, Man & Cybernetics. Systems
    Vitenskapelig artikkel
  • Wang, Chunlin; Han, Peihua; Zhu, Mingda; Osen, Ottar Laurits; Zhang, Houxiang; Li, Guoyuan. (2024) AIS Data-Based Hybrid Predictor for Short-Term Ship Trajectory Prediction Considering Uncertainties. IEEE Transactions on Intelligent Transportation Systems (T-ITS)
    Vitenskapelig artikkel
  • Han, Peihua; Zhang, Houxiang; Bruheim, Inge Alexander. (2024) A Framework for Smart Manufacturing of Antarctic Krill Protein. IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Han, Peihua; Skulstad, Robert; Zhang, Houxiang. (2024) Deep Autoregressive Roll Motion Prediction of Marine Vessels. IEEE transactions on industrial electronics (1982. Print)
    Vitenskapelig artikkel
  • Liang, Qin; Han, Peihua; Vanem, Erik; Knutsen, Knut Erik; Zhang, Houxiang. (2024) A Hybrid Approach Integrating Physics-Based Models and Expert-Augmented Neural Networks for Ship Fuel Consumption Prediction. Journal of Offshore Mechanics and Arctic Engineering
    Vitenskapelig artikkel
  • Han, Peihua; Liang, Qin; Vanem, Erik; Knutsen, Knut Erik; Zhang, Houxiang. (2024) Assessing Helicopter Turbine Engine Health: A Simple Yet Robust Probabilistic Approach. Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM
    Vitenskapelig artikkel
  • Sanguino, Beatriz; Li, Guoyuan; Han, Peihua; Zhang, Houxiang. (2024) An LSTM-based Approach to Fuel Consumption Estimation in Digital Twin Ship . IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

2023

  • Han, Peihua; Li, Guoyuan; Thattavelil Sunilkumar, Sai Rana; Cao, Yanran. (2023) A Virtual Learning Platform for Biomedical Laboratory Scientists Using Unity3D. IEEE conference proceedings
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Gao, Sihan; Han, Peihua; Gansel, Lars Christian; Li, Guoyuan; Zhang, Houxiang. (2023) Real-time prediction of fish cage behaviors under varying currents using deep neural network. IEEE conference proceedings
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Gao, Sihan; Banno, Kana; Hu, Zhicheng; Han, Peihua; Gansel, Lars Christian; Li, Guoyuan. (2023) Digital Prototyping of a Stocked Cage with Multi-Sensor Integration. IEEE conference proceedings
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Han, Peihua; Hildre, Hans Petter; Zhang, Houxiang. (2023) Local Ocean Wave Field Estimation Using a Deep Generative Model of Wave Buoys. IEEE Transactions on Geoscience and Remote Sensing
    Vitenskapelig artikkel
  • Han, Peihua; Zhu, Mingda; Zhang, Houxiang. (2023) Interaction-Aware Short-Term Marine Vessel Trajectory Prediction With Deep Generative Models. IEEE Transactions on Industrial Informatics
    Vitenskapelig artikkel
  • Kakavandi, Fatemeh; Han, Peihua; Reus, Roger de; Larsen, Peter Gorm; Zhang, Houxiang. (2023) Interpretable Fault Detection Approach With Deep Neural Networks to Industrial Applications. IEEE Press
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Han, Peihua; Zhang, Houxiang; Bruheim, Inge Alexander. (2023) Efficient Optimization of Enzymatic Hydrolysis of Antarctic Krill via Parallel Bayesian Optimization. IEEE Conference on Industrial Electronics and Applications
    Vitenskapelig artikkel

2022

  • Han, Peihua; Li, Guoyuan; Zhang, Houxiang. (2022) Leveraging Past Experience for Path planning of Marine Vessel: A Docking Example. MIC Journal: Modeling, Identification and Control
    Vitenskapelig artikkel
  • Wu, Baiheng; Han, Peihua; Kanazawa, Motoyasu; Hildre, Hans Petter; Zhao, Luman; Zhang, Houxiang. (2022) A Camera-based Deep-Learning Solution for Visual Attention Zone Recognition in Maritime Navigational Operations. IEEE conference proceedings
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Zhang, Houxiang; Li, Guoyuan; Hatledal, Lars Ivar; Chu, Yingguang; Ellefsen, André Listou; Han, Peihua. (2022) A Digital Twin of the Research Vessel Gunnerus for Lifecycle Services: Outlining Key Technologies. IEEE robotics & automation magazine
    Vitenskapelig artikkel
  • Wang, Chunlin; Li, Guoyuan; Han, Peihua; Osen, Ottar; Zhang, Houxiang. (2022) Impacts of COVID-19 on Ship Behaviours in Port Area: An AIS Data-Based Pattern Recognition Approach. IEEE Transactions on Intelligent Transportation Systems (T-ITS)
    Vitenskapelig artikkel
  • Han, Peihua; Li, Guoyuan; Skjong, Stian; Zhang, Houxiang. (2022) Directional wave spectrum estimation with ship motion responses using adversarial networks. Marine Structures
    Vitenskapelig artikkel

2021

  • Han, Peihua; Ellefsen, Andre; Li, Guoyuan; Holmeset, Finn Tore; Zhang, Houxiang. (2021) Fault Detection with LSTM-Based Variational Autoencoder for Maritime Components. IEEE Sensors Journal
    Vitenskapelig artikkel
  • Han, Peihua; Li, Guoyuan; Skjong, Stian; Wu, Baiheng; Zhang, Houxiang. (2021) Data-driven sea state estimation for vessels using multi-domain features from motion responses. IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Han, Peihua; Ellefsen, Andre; Li, Guoyuan; Æsøy, Vilmar; Zhang, Houxiang. (2021) Fault Prognostics Using LSTM Networks: Application to Marine Diesel Engine. IEEE Sensors Journal
    Vitenskapelig artikkel
  • Han, Peihua; Li, Guoyuan; Cheng, Xu; Skjong, Stian; Zhang, Houxiang. (2021) An Uncertainty-Aware Hybrid Approach for Sea State Estimation Using Ship Motion Responses. IEEE Transactions on Industrial Informatics
    Vitenskapelig artikkel
  • Cheng, Xu; Li, Guoyuan; Han, Peihua; Skulstad, Robert; Chen, Shengyong; Zhang, Houxiang. (2021) Data-Driven Modeling for Transferable Sea State Estimation between Marine Systems. IEEE Transactions on Intelligent Transportation Systems (T-ITS)
    Vitenskapelig artikkel
  • Han, Peihua; Li, Guoyuan; Skulstad, Robert; Skjong, Stian; Zhang, Houxiang. (2021) A Deep Learning Approach to Detect and Isolate Thruster Failures for Dynamically Positioned Vessels Using Motion Data. IEEE Transactions on Instrumentation and Measurement
    Vitenskapelig artikkel

2020

  • Xu, Cheng; Han, Peihua; Li, Guoyuan; Chen, Shengyong; Zhang, Houxiang. (2020) A Novel Channel and Temporal-wise Attention in Convolutional Networks for Multivariate Time Series Classification. IEEE Access
    Vitenskapelig artikkel
  • Ellefsen, Andre; Han, Peihua; Cheng, Xu; Holmeset, Finn Tore; Æsøy, Vilmar; Zhang, Houxiang. (2020) Online Fault Detection in Autonomous Ferries: Using fault-type in-dependent spectral anomaly detection. IEEE Transactions on Instrumentation and Measurement
    Vitenskapelig artikkel

Tidsskriftspublikasjoner

  • Tian, Weiwei; Zhu, Mingda; Han, Peihua; Li, Guoyuan; Zhang, Houxiang. (2024) Pairwise ship encounter identification and classification for knowledge extraction. Ocean Engineering
    Vitenskapelig artikkel
  • Zhu, Mingda; Han, Peihua; Tian, Weiwei; Skulstad, Robert; Zhang, Houxiang; Li, Guoyuan. (2024) A Deep Generative Model for Multi-Ship Trajectory Forecasting With Interaction Modeling. Journal of Offshore Mechanics and Arctic Engineering
    Vitenskapelig artikkel
  • Zhu, Mingda; Han, Peihua; Wang, Chunlin; Skulstad, Robert; Zhang, Houxiang; Li, Guoyuan. (2024) An AIS Data-Driven Hybrid Approach to Ship Trajectory Prediction. IEEE Transactions on Systems, Man & Cybernetics. Systems
    Vitenskapelig artikkel
  • Wang, Chunlin; Han, Peihua; Zhu, Mingda; Osen, Ottar Laurits; Zhang, Houxiang; Li, Guoyuan. (2024) AIS Data-Based Hybrid Predictor for Short-Term Ship Trajectory Prediction Considering Uncertainties. IEEE Transactions on Intelligent Transportation Systems (T-ITS)
    Vitenskapelig artikkel
  • Han, Peihua; Skulstad, Robert; Zhang, Houxiang. (2024) Deep Autoregressive Roll Motion Prediction of Marine Vessels. IEEE transactions on industrial electronics (1982. Print)
    Vitenskapelig artikkel
  • Liang, Qin; Han, Peihua; Vanem, Erik; Knutsen, Knut Erik; Zhang, Houxiang. (2024) A Hybrid Approach Integrating Physics-Based Models and Expert-Augmented Neural Networks for Ship Fuel Consumption Prediction. Journal of Offshore Mechanics and Arctic Engineering
    Vitenskapelig artikkel
  • Han, Peihua; Liang, Qin; Vanem, Erik; Knutsen, Knut Erik; Zhang, Houxiang. (2024) Assessing Helicopter Turbine Engine Health: A Simple Yet Robust Probabilistic Approach. Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM
    Vitenskapelig artikkel
  • Han, Peihua; Hildre, Hans Petter; Zhang, Houxiang. (2023) Local Ocean Wave Field Estimation Using a Deep Generative Model of Wave Buoys. IEEE Transactions on Geoscience and Remote Sensing
    Vitenskapelig artikkel
  • Han, Peihua; Zhu, Mingda; Zhang, Houxiang. (2023) Interaction-Aware Short-Term Marine Vessel Trajectory Prediction With Deep Generative Models. IEEE Transactions on Industrial Informatics
    Vitenskapelig artikkel
  • Han, Peihua; Zhang, Houxiang; Bruheim, Inge Alexander. (2023) Efficient Optimization of Enzymatic Hydrolysis of Antarctic Krill via Parallel Bayesian Optimization. IEEE Conference on Industrial Electronics and Applications
    Vitenskapelig artikkel
  • Han, Peihua; Li, Guoyuan; Zhang, Houxiang. (2022) Leveraging Past Experience for Path planning of Marine Vessel: A Docking Example. MIC Journal: Modeling, Identification and Control
    Vitenskapelig artikkel
  • Zhang, Houxiang; Li, Guoyuan; Hatledal, Lars Ivar; Chu, Yingguang; Ellefsen, André Listou; Han, Peihua. (2022) A Digital Twin of the Research Vessel Gunnerus for Lifecycle Services: Outlining Key Technologies. IEEE robotics & automation magazine
    Vitenskapelig artikkel
  • Wang, Chunlin; Li, Guoyuan; Han, Peihua; Osen, Ottar; Zhang, Houxiang. (2022) Impacts of COVID-19 on Ship Behaviours in Port Area: An AIS Data-Based Pattern Recognition Approach. IEEE Transactions on Intelligent Transportation Systems (T-ITS)
    Vitenskapelig artikkel
  • Han, Peihua; Li, Guoyuan; Skjong, Stian; Zhang, Houxiang. (2022) Directional wave spectrum estimation with ship motion responses using adversarial networks. Marine Structures
    Vitenskapelig artikkel
  • Han, Peihua; Ellefsen, Andre; Li, Guoyuan; Holmeset, Finn Tore; Zhang, Houxiang. (2021) Fault Detection with LSTM-Based Variational Autoencoder for Maritime Components. IEEE Sensors Journal
    Vitenskapelig artikkel
  • Han, Peihua; Ellefsen, Andre; Li, Guoyuan; Æsøy, Vilmar; Zhang, Houxiang. (2021) Fault Prognostics Using LSTM Networks: Application to Marine Diesel Engine. IEEE Sensors Journal
    Vitenskapelig artikkel
  • Han, Peihua; Li, Guoyuan; Cheng, Xu; Skjong, Stian; Zhang, Houxiang. (2021) An Uncertainty-Aware Hybrid Approach for Sea State Estimation Using Ship Motion Responses. IEEE Transactions on Industrial Informatics
    Vitenskapelig artikkel
  • Cheng, Xu; Li, Guoyuan; Han, Peihua; Skulstad, Robert; Chen, Shengyong; Zhang, Houxiang. (2021) Data-Driven Modeling for Transferable Sea State Estimation between Marine Systems. IEEE Transactions on Intelligent Transportation Systems (T-ITS)
    Vitenskapelig artikkel
  • Han, Peihua; Li, Guoyuan; Skulstad, Robert; Skjong, Stian; Zhang, Houxiang. (2021) A Deep Learning Approach to Detect and Isolate Thruster Failures for Dynamically Positioned Vessels Using Motion Data. IEEE Transactions on Instrumentation and Measurement
    Vitenskapelig artikkel
  • Xu, Cheng; Han, Peihua; Li, Guoyuan; Chen, Shengyong; Zhang, Houxiang. (2020) A Novel Channel and Temporal-wise Attention in Convolutional Networks for Multivariate Time Series Classification. IEEE Access
    Vitenskapelig artikkel
  • Ellefsen, Andre; Han, Peihua; Cheng, Xu; Holmeset, Finn Tore; Æsøy, Vilmar; Zhang, Houxiang. (2020) Online Fault Detection in Autonomous Ferries: Using fault-type in-dependent spectral anomaly detection. IEEE Transactions on Instrumentation and Measurement
    Vitenskapelig artikkel

Del av bok/rapport

  • Zhu, Mingda; Han, Peihua; Landsverk, Ronny; Strandene, Jan Christian Bjerke; Hagen, Daniel; Zhou, Jing. (2025) A Data-driven Approach to Payload Heave Motion Prediction under Irregular Waves. IEEE conference proceedings
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Han, Peihua; Zhang, Houxiang; Bruheim, Inge Alexander. (2024) A Framework for Smart Manufacturing of Antarctic Krill Protein. IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Sanguino, Beatriz; Li, Guoyuan; Han, Peihua; Zhang, Houxiang. (2024) An LSTM-based Approach to Fuel Consumption Estimation in Digital Twin Ship . IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Han, Peihua; Li, Guoyuan; Thattavelil Sunilkumar, Sai Rana; Cao, Yanran. (2023) A Virtual Learning Platform for Biomedical Laboratory Scientists Using Unity3D. IEEE conference proceedings
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Gao, Sihan; Han, Peihua; Gansel, Lars Christian; Li, Guoyuan; Zhang, Houxiang. (2023) Real-time prediction of fish cage behaviors under varying currents using deep neural network. IEEE conference proceedings
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Gao, Sihan; Banno, Kana; Hu, Zhicheng; Han, Peihua; Gansel, Lars Christian; Li, Guoyuan. (2023) Digital Prototyping of a Stocked Cage with Multi-Sensor Integration. IEEE conference proceedings
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Kakavandi, Fatemeh; Han, Peihua; Reus, Roger de; Larsen, Peter Gorm; Zhang, Houxiang. (2023) Interpretable Fault Detection Approach With Deep Neural Networks to Industrial Applications. IEEE Press
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Wu, Baiheng; Han, Peihua; Kanazawa, Motoyasu; Hildre, Hans Petter; Zhao, Luman; Zhang, Houxiang. (2022) A Camera-based Deep-Learning Solution for Visual Attention Zone Recognition in Maritime Navigational Operations. IEEE conference proceedings
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Han, Peihua; Li, Guoyuan; Skjong, Stian; Wu, Baiheng; Zhang, Houxiang. (2021) Data-driven sea state estimation for vessels using multi-domain features from motion responses. IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Undervisning

Emner

  • IP506921 - Mekatronikk og systemintegrasjon
  • MMA4007 - Applied AI and Control
  • MEPA2315 - Introduksjon til kunstig intelligens

Formidling

2024

  • Vitenskapelig foredrag
    Tian, Weiwei; Han, Peihua; Zhu, Mingda; Kjerstad, Øivind Kåre; Li, Guoyuan; Zhang, Houxiang. (2024) A Multi-AttentionLSTM model for multi-ship encounter classification. 2024 IEEE International Conference on Real-time Computing and Robotics 2024-06-24 - 2024-06-28

2023

  • Vitenskapelig foredrag
    Tian, Weiwei; Han, Peihua; Zhu, Mingda; Kjerstad, Øivind Kåre; Li, Guoyuan; Zhang, Houxiang. (2023) Informed Clustering for Encounter Type Categorization Based on AIS Data. 2023 11th International Conference on Control, Mechatronics and Automation 2023-11-01 - 2023-11-03

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