[Case Study] Quality Anomaly Detection

Introducing a case study on detecting quality anomalies at the warning stage through the acquisition of analog data from sensors.

We would like to introduce a case study of detecting "quality abnormalities at the warning stage" through the acquisition of analog data from sensors we handle. When sensor conditions are obtained solely through parallel signals, it can be difficult to identify fine conditions, and issues may only become apparent after an error occurs (during quality abnormalities). At our automation and labor-saving device division, we can also acquire sensor data as analog data. This allows us to detect errors at the warning stage and perform repairs, thereby preventing sudden equipment failures. 【Case Overview】 ■Challenges - Issues become apparent only after an error occurs when sensor conditions are obtained solely through parallel signals. ■Results - Errors can be detected and repaired at the warning stage. - Preventing quality abnormalities and equipment issues in advance. - It is also possible to prevent sudden equipment failures. *For more details, please refer to the PDF document or feel free to contact us.

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