Studying the Correlation Between Anomalies

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The rise of study

Keysight’s PathWave Manufacturing Analytics (PMA) is an Analytics-as-a-Service(AaaS) big data, real-time advanced analytics platform. It is an established and proven solution that uniquely combines measurement science domain knowledge and data science. It has the capability to monitor the production process and detect the anomalies produced. However, the anomalies found by PMA across different tests are not linked hence we are unable to establish a connection between tests. The anomalies then can only be flagged as separate warnings, and clients can only investigate them one at a time. There is no collective analysis done to the anomalies. It is possible to manually locate similar anomalous patterns across hundreds of tests, but it would require too much manpower. Thus, this has given rise to the need to quantitatively measure the correlation between anomalous patterns and group them together for further study.

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Studying the Correlation Between Anomalies

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