Sammendrag
An increasing number of ships are being equipped with sensors and devices for monitoring of operational
behavior, and the amount and access to operational data is gradually increasing. Due to various reasons
described in this paper, the operational data may contain erroneous data points that are critical to assess
prior to performing data analysis or building mathematical and statistical models. In this paper, a stepwise
method for preparation of data for ship operation and performance analysis is presented. The method deals
with removing jumps in the time series data, including loss of time synchronization between different
measurement subsystems, outlier detection, including repeated samples, dropouts and spikes and data selection
and extraction, including stationarity detection. The final result is a data set free from disturbances, distortions
and undesired physical effects, that can be used to improve the quality of a ship operation and performance
analysis.
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