Preparation of in-service measurement data for ship operation and performance analysis

OCEAN ENGINEERING

卷:212

Article

Dalheim, Oyvind Oksnes^1,2  Steen, Sverre^1,2 

[1] Norwegian Univ Sci & Technol NTNU, Dept Marine Technol, Otto Nielsens Vei 10, N-7491 Trondheim, Norway

[2] Kongsberg Maritime Univ, Technol Ctr UTC Ship Performance & Cyber Phys Sys, Trondheim, Norway

关键词: Data preparation;    Data preprocessing;    Outlier detection;    Synchronization;    Steady state detection;    Data extraction;   

DOI  :  10.1016/j.oceaneng.2020.107730

来源: Elsevier

【 摘 要 】

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.

【 授权许可】

Free