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Data analytics for condition monitoring on-board containerships

Abstract:

Containerships that transport refrigerated containers (reefers) require a substantial amount of electrical power generation. These ships typically have the ability to conduct electrical measurements, but only do so at an hourly basis. It is proposed to improve this data collection to perform condition monitoring, maintenance scheduling, and asset management. At present, maintenance for electrical equipment on-board containerships are conducted based on its individual total runtime, which is not representative of the actual electrical work done by the equipment. With improved data collection, an improvement in asset management on-board containerships can be achieved through improved accuracy in tracking the performance parameters of the electrical system onboard the ship. This paper evaluates the implementation of an improved data collection scheme for containerships, which is then used for condition monitoring of electrical equipment via performance parameters.