Development of a data pre-processing tool for marine systems sensor data

Tools

Velasco-Gallego, Christian and Lazakis, Iraklis and Cubo Mateo, Nieves (2026) Development of a data pre-processing tool for marine systems sensor data. Ship Technology Research, 73 (1). pp. 27-40. ISSN 0937-7255 (https://doi.org/10.1080/09377255.2025.2538005)

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Abstract

While an undeniable progression is taking place in the shipping industry in terms of smart maintenance studies, the development of frameworks for the data pre-processing of marine systems sensor data has not yet been fully addressed. Data pre-processing is critical due to the current challenges that need to be addressed within the sector concerning unreliable outcomes and the appearance of distinct operational states. Such challenges need to be adequately addressed to avert under-utilization of data and computational inefficiency, whilst ensuring data quality and integrity. Accordingly, a data pre-processing tool is proposed to contribute towards implementing more sophisticated methods for addressing the challenges currently experienced within the sector. This data pre-processing tool is comprised of three distinct modules: (1) data imputation, (2) outlier detection and (3) operational state identification. A tool that is combined with a user interface to make accessible data pre-processing methodologies within the shipping sector.

ORCID iDs

Velasco-Gallego, Christian, Lazakis, Iraklis ORCID logoORCID: https://orcid.org/0000-0002-6130-9410 and Cubo Mateo, Nieves;
CORE (COnnecting REpositories)