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Ship operational profiling and auto-mode detection

Ship operational profiling and auto-mode detection

A commercial module featuring automatic mode detection and operational and engine operation profiles.

Project leader

Dr Kayvan Pazouki

Dates

January 2020 to July 2020

Project staff

Dr Rosemary Norman

Sponsors

Commercial Research sponsored by NYK Shipping

Description

We are developing an automatic mode detection module. It will use NYK’s ship operational data stream to identify the mode of operation automatically. The module includes three sub-models: operational profile, automatic mode detection and engine operation profile.

We are using statistical and/or data driven modelling techniques in the development of the anomaly detection module. The techniques include machine learning.