Real time fault detection and diagnosis system for onboard engine room

Abstract

Experts of ship technology have varied definitions of smart ships. Some consider a smart ship to be an autonomous ship, while others define it as an eco-ship with smart technology. Currently, shipbuilders and shipping companies need to urgently cope with environmental regulations related to NOx tier III, CO2 Phase 2(EEDI and EEOI), and ballast water management, etc. These entities aim to solve these types of problems using smart technologies such as ICT, IoT, M2M, big data analysis, and intelligent technology. The most important aspect of a smart ship is the ability to transport valuable cargo safely, while reducing operating expenses and complying with IMO environmental requirements. A necessary functionality of autonomous or smart ships is real-time fault detection and diagnosis of machinery systems. This paper shows that real-time fault detection and diagnosis can be achieved by the proposed method using real-time ship maneuvering data. This study used maneuvering data from ships’ engine logbooks.