An innovative machinery data management system for ships using a catalogue data model
Taheri, A. and Lazakis, I. and Koch, T.; Soares, C. Guedes and Dejhalla, R. and Pavletić, D., eds. (2015) An innovative machinery data management system for ships using a catalogue data model. In: Towards Green Marine Technology and Transport. CRC Press/Balkema, HRV, pp. 627-633. ISBN 9781138028876 (https://doi.org/10.1201/b18855-82)
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Due to the complex and various types of data types obtained on a condition based maintenance system in ships, it is crucial to create a central database system. This system should be able to combine historical data, continuously monitored data and analysed/manipulated data. Therefore, this paper develops a central machinery database for the maintenance and inspection methodology for the INCASS (Inspection Capabilities for Enhanced Ship Safety) European Project. Major raw data inputs for this database are obtained from operators, sensors, classification societies, OEMs and other databases. APIs are used to connect the database to its analytical clients. Data itself inside the database are categorised in several major sections of operational parameters including voyage information, general conditions used at the time of data collection, more static information type data such as general engine information based on manufacturers' data, and finally monitored machinery data from main engine, turbochargers and etc.
ORCID iDs
Taheri, A. ORCID: https://orcid.org/0000-0002-4242-6419, Lazakis, I. ORCID: https://orcid.org/0000-0002-6130-9410 and Koch, T.; Soares, C. Guedes, Dejhalla, R. and Pavletić, D.-
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Item type: Book Section ID code: 56180 Dates: DateEvent4 September 2015PublishedSubjects: Technology > Hydraulic engineering. Ocean engineering Department: Faculty of Engineering > Naval Architecture, Ocean & Marine Engineering
University of Strathclyde > University of StrathclydeDepositing user: Pure Administrator Date deposited: 18 Apr 2016 09:10 Last modified: 11 Nov 2024 15:04 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/56180