Gemi şaft yatağı boşluğunun yapay sinir ağları ile öngörüsü ve havuz bakım planlaması

Thesis Type: Postgraduate

Institution Of The Thesis: Yildiz Technical University, Naval Architecture and Maritime Faculty, Deparment of Naval Architecture and Marine Engineering, Turkey

Approval Date: 2019

Thesis Language: Turkish


Consultant: Aykut Safa


The long service life and regular operation of ship operating systems are possible with
planned maintenance systems. The leading questions asked by the shipowners to be
answered, are the possibility of satisfactory maintenance within a limited budget, and
correct prediction ofstart and end times. The priorities in the planning of ship
maintenance is aimed to determine within a short period of time and to ensure the
maximum benefit from the activities of the ships. However, it is very difficult to
estimate maintenance activities due to malfunctions encountered by the ships at
unexpected times. Great time and financial losses occur when shipowners have to do
heavy maintenance, such as dry docking repairs. For this reason, it is necessary to keep
the records of failures and repairs completely, to perform the personnel training
without negligence, to perform the regular inspection activities. Additionally, it is
important to perform all the maintenance procedures in accordance with the
manufacturer's instructions.
In ships, depending on the placement of the bearing, extensive wear may occur in the
bearings causing from the shaft and the propeller weights. Wear is expressed as the
dimension of sag on the shaft due to bearing and shaft wear. Measurement of bearing
wear on a shaft is quite difficult. In the systems, where the two-part polymer bearings
are generally applied, the space between the shaft and the lower bearing is considered as the design characteristics and between the upper bearing and the shaft, a gap is
presentwithin the aspects determined for the installation of the bearing. Therefore,
this gap tends to increase by any wear in the shaft bearings. And, the measurement of
the bearing clearance is determined as a wear criterion.
In this study, the time taken to limit the amount of wear based on the measurements
since the last change and to plan the ship's repair and to extend the operation time of
the ship has been aimed to be estimated using the collected data from a sample
As a result, the value of the bearing gap measured in the port, the value predicted by
the ANN model and the dry docking of the ship were all compared. It is concluded that
the estimated value made with the model is quite close to the value measured in the
dry docking.