Unlike conventional diagnostic technology, which uses the same conditions for abnormality detection regardless of a machine’s current operational state, the new AI technology analyzes sensor data to automatically generate a model of the machine’s transition between various operational states, and then uses the model to set optimal conditions for detecting abnormalities during each operation.

Signs of machinery failure can be detected accurately prior to actual breakdowns, helping to reduce the labor associated with performing maintenance and dealing with downtime in factories and plants.

The new AI technology eliminates complicated manual settings to simplify the introduction of abnormality-detection systems.