Data Pre-Processing Techniques for Maintenance Cost Prediction of Ship Equipment

To collect data precisely and adequately is key concern to the maintenance cost prediction of ship equipment.This paper incorporates pre-processing techniques to deal with the cost prediction-related data.As a wide r ange of data will affect the prediction,data are to be categorized into different groups,such as basic data,operational data,maintenance data and macroeconomic data.However,by what means data acquisition can be achieve d efficiently should be confirmed.The original data from different sources will likely to be of noise,default or abnormity and discrepancy.Various pre-processes are needed to handle these data respectively.The pre-proc essed data may provide a good basis for the maintenance cost prediction and improving the efficiency.