Ship sensors data collection and analysis for condition monitoring of ship structures and machinery systems

Raptodimos, Yiannis and Lazakis, Iraklis and Theotokatos, Gerasimos and Varelas, Takis and Drikos, Leonidas (2016) Ship sensors data collection and analysis for condition monitoring of ship structures and machinery systems. In: Smart Ship Technology, 2016-01-26 - 2016-01-27, The Royal Institution of Naval Architects.

[thumbnail of Raptodimos-etal-SMART-2016-Ship-sensors-data-collection-and-analysis-for-condition-monitoring-of-ship]
Text. Filename: Raptodimos_etal_SMART_2016_Ship_sensors_data_collection_and_analysis_for_condition_monitoring_of_ship.pdf
Accepted Author Manuscript
License: Unspecified

Download (477kB)| Preview


With the advancements in technology, sensors and predictive maintenance, the concept of smart ships aims in using data to enhance ship performance. The INCASS project aims in integrating robotic platforms, structural and machinery reliability tools in order to enhance ship inspection, maintenance, safety and performance. In order to achieve this, sensors are installed onboard three case studies, for monitoring hull structural characteristics and machinery parameter measurements are also monitored and data are collected in order to inspect and examine machinery systems and parameters behaviour through condition monitoring. Moreover, INCASS also addresses and identifies the methods for transforming the real time monitoring data (raw data), collected from the onboard measurement campaign using permanent sensors or portable equipment or a combination of both, into meaningful, useful data and information that will be utilised in developed structural and machinery reliability analysis and assessment tools. Furthermore, the developed tools using the information from the onboard data collection activity will be capable of calculating and assessing the performance and reliability of the ship, which will provide input into a decision support system capable of addressing emergency decision making and assisting in the overall decision making process for repair, maintenance and optimised ship operations.