Forthcoming and Online First Articles

International Journal of Ocean Systems Management

International Journal of Ocean Systems Management (IJOSM)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Ocean Systems Management (2 papers in press)

Regular Issues

  • A detailed review of recent advancements in autonomous robots for marine energy pipeline inspection   Order a copy of this article
    by Md Alauddin Himel 
    Abstract: Strategic energy pipelines must supply global energy demand. Poor circumstances might leak, damage, or collision marine cables. Renewables, gas, and oil are dangerous. Diver, ROV, and hand monitor pipeline inspections are costly, inefficient, and error-prone. Recently developed self-driving robots assess and repair undersea pipelines. This novel concept boosts safety, output, and cost. This study evaluates modern maritime energy pipeline inspection self-driving robots. This research extends beyond robotics, encompassing sonar, ultrasound, optical imaging, and AI integration. The focus is on autonomous robots for rapid pipeline damage detection and autonomous underwater robots for addressing unstructured challenges. Powerful AI and machine learning algorithms allow these robots to react to strong currents in real-time. Robots can foresee substantial wear. The study shows hybrid robotic systems and multi-word swarm technologies can constantly and massively examine pipelines and networks. These devices give time, motion, and cooperation data for faster, more precise travel. Human-free remote robot inspections are researched.
    Keywords: autonomous robot; marine pipeline inspection; artificial intelligence; sensor technology; hybrid robotic systems.
    DOI: 10.1504/IJOSM.2025.10070207
     
  • A method for extracting bearing degradation data of ship propulsion systems based on cumulative features   Order a copy of this article
    by Hui Ma, Chunlong Ma, Wenjun Xia 
    Abstract: This article proposes a method for extracting degradation data of rotating components in ship transmission systems based on accumulated features, aiming to address the challenges faced by traditional methods in extracting early degradation features and improve the accuracy and reliability of prediction models. By combining multi-resolution signal decomposition techniques and accumulative feature processing, the proposed method refines the classical features and inverse trigonometric function features, extracting monotonic degradation signal features. At the same time, the EM smoothing method is used to smooth the feature signals, further improving the availability and accuracy of the data. The experimental results show that this method can significantly improve the accuracy of life prediction for rotating components, providing strong support for the maintenance and optimisation of marine transmission systems. The effectiveness of accumulating feature processing in enhancing data prediction capabilities was verified through monotonicity, correlation, and trend evaluation indexes.
    Keywords: degradation data; bearing; cumulative features; ship propulsion systems; expectation maximisation.
    DOI: 10.1504/IJOSM.2025.10070760
     

 

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