Forensic Analysis and Data Diagnostic of Abnormalities from Data Operations of Selected Container Ships

Farikhi, Achdaniel (2020) Forensic Analysis and Data Diagnostic of Abnormalities from Data Operations of Selected Container Ships. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

In this research, the proposer has an incomplete data sets of performance of 2 ships which is sister-ship. However, performance of both ships is difference which is quite hard to explain. In this research, the incomplete
data will be used to obtain useful information such as variation, abnormalities, and fluctuations. The data obtained is only brake power, ship speed, and engine/propeller speed. In order to approach the abnormalities and variance, theoretical study will support the hypothesis by using empirical formula and several previous research. The causes might be from external factor such as weather condition which influence the increasing resistance. On some specific dates, the ship had fluctuations in propeller load and stays there until the end of recorded date which is currently unknown for the causes. The result of this research neither can accepted nor rejected since the data is not complete for knowing the exact causes. It is necessary to analyze the abnormalities with incomplete data sets by estimating and making hypothesis of operating conditions to help in future or upcoming problem occurrence with the same circumstances.

Item Type: Thesis (Other)
Uncontrolled Keywords: Abnormalities, Container, Forensic, Performance, Fuel Consumption
Subjects: V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering > VM731 Marine Engines
V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering > VM751 Resistance and propulsion of ships
V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering > VM773 Ship propulsion, Electric
Divisions: Faculty of Marine Technology (MARTECH) > Marine Engineering > 36202-(S1) Undergraduate Thesis
Depositing User: Achdaniel Farikhi
Date Deposited: 23 Aug 2020 08:56
Last Modified: 09 Jun 2023 15:27
URI: http://repository.its.ac.id/id/eprint/80123

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