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      INTELLIGENT MONITORING OF A LARGE CATAMARAN FERRY

      International Journal of Maritime Engineering
      University of Buckingham Press

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          Abstract

          Wave load cycles, wet-deck slamming events, accelerations and motion comfort are important considerations for high-speed catamarans operating in moderate to large waves. Although developing a hull monitoring system according to classification guidelines for such vessels is broadly acceptable, the data processing requirements for outputs such as rainflow counting, filtering, probability distribution, fatigue damage estimation and warning due to slamming can be as sophisticated to implement as the system components themselves. Advanced analytics such as machine learning and deep learning data pipelines will also create more complexities for such systems, if included. This paper provides an overview of data analytics methods and cloud computing resources for remotely monitoring motions and structural responses of a 111 m high-speed catamaran. To satisfy the data processing requirements, MATLAB Reference Architectures on Amazon Web Services (AWS) were used. Such combination enabled fast parallel computing and advanced feature engineering in a time-efficient manner. A MATLAB Production Server on AWS has been set up for near real-time analytics and execution of functions developed according to the class guidelines. A case study using Long Short‑Term Memory (LSTM) networks for ship speed and Motion Sickness Incidence (MSI) is provided and discussed. Such data architecture provides a flexible and scalable solution, leading to deeper insights through big data processing and machine learning, which supports hull monitoring functions as a service.

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          Author and article information

          Journal
          International Journal of Maritime Engineering
          IJME
          University of Buckingham Press
          1479-8751
          1479-8751
          July 10 2023
          July 10 2023
          : 165
          : A1
          : 11-22
          Article
          10.5750/ijme.v165iA1.791
          f20852a1-cc95-484a-9b19-4c63e0b6a9ef
          © 2023
          History

          General engineering,Engineering,Civil engineering,Mechanical engineering
          General engineering, Engineering, Civil engineering, Mechanical engineering

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