Determination of Generator Maintenance Level on Motor Tanker Using Fuzzy Logic

Abstract

The electricity necessity on the motor tanker are supported by generators with a capacity of 3x1,225 MVA. This generator is used to drive the load of the main engine, pump, cargo plant, and steering system. The problem is how to know the condition of generator performance to be standardized because the generator operation must be available to use to support the ship operation. Consequently, if the generator does not work optimally, the ship operation will be hampered and can be detrimental to the company’s operation. The solution to this problem is the need to carry out appropriate and standardized maintenance. This study focuses on determining the maintenance level for a 3x1,225 MVA ship generator. The model is specified as a scheme of the generator maintenance system. The parameters set include: vibration, insulation resistance, power, and fuel consumption. Fuzzy logic is used to define maintenance actions: corrective, planned, and predictive. The object of this investigation is on MT Salmon Mustafa. The results of this research are that fuzzy logic can be used to determine the level of maintenance actions. The average percentage of the error or uncertainty level measured both by four input variables and by Fuzzy logic consisting of three conditions is 6.9952%. The truth level of the calculation results is 93.0048%. This indicates that the calculation results are sufficiently accurate and reliable.