In collaboration with MTI Corporation, Nippon Yusen Kabushiki Kaisha (NYK) developed the diagnostic tool “Kirari MUSE” that collects the operating sound of ships’ engine equipment in an effort to utilize big data.
Kirari MUSE visualizes the sound of the engine and it diagnoses the condition. Kirari MUSE shares sound, understanding the difference between a fine sound and the changes that may indicate a problem, by analyzing data every day.
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Furthermore, in the task of listening to the operating sound indicating abnormality, individual crew’s skill such as experience and feeling of the crew, play an important role. Individual experience and Kirari MUSE can offer a high-precision state diagnosis that can detect early abnormalities and failures.
NYK said in a statement:
We aim to shift from conventional maintenance (Time Based Maintenance) based on usage time to rational maintenance (Condition Based Maintenance) based on the state of each equipment.
