NYK and Monohakobi Technology Institute (MTI) have jointly developed a diagnostic tool that analyses the operational sounds of a vessel’s engine plant to gain greater insight into machinery status and prevent machinery failure.
Named as Kirari MUSE, the tool consists of equipment for recording and visualising sounds around the vessel’s engine plant, and software to analyse the sounds and detect anomalies. Kirari MUSE uses electrical listening devices to record, accumulate, and share sounds that can be displayed as data on a tablet.
According to NYK, engine sounds are key indicators of the condition of machinery, but the ability to identify abnormal sounds and share them with others is dependent on the experience and judgement of crew members. Kirari MUSE is an application that uses the accumulation of many years of vessel operational experience to detect abnormal conditions and permit identification of possible machinery breakdowns at an early stage. The tool will share the data with others on ships and ashore to help realise small changes day by day.
NYK Group says Kirari MUSE will help them shift from conventional time-based maintenance to condition-based maintenance. The tool is expected to be used for all kinds of machinery and equipment that produce operational sounds.
The application is part of NYK’s big data initiatives to encourage safer and more efficient shipping. Trials on-board will begin shortly.