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Failure prediction by human operators requires advanced skills, and the limited number of experts cannot monitor all MRI systems around the world. "Corrective maintenance" for repairs after breakdowns has also become inevitable.
Kashiwa Health Check Clinic in Chiba, Japan
Hitachi analyzed three years’ worth of sensor data from 100 MRI systems and created a mechanism to investigate the cause patterns that lead to device failures. Then machine learning was used to define a normal operational state to achieve successful early detection of abnormalities and changes in status that lead to failures.
Schedule maintenance before systems break down has been made possible
Improve medical services and reduce costs for hospitals
Equipment downtime has been reduced by 16.3% compared to before its introduction