【Finally, next week on November 25 (Friday)】 Explanation of AI use cases and methods using a time series anomaly detection application.

In manufacturing sites where productivity improvement and quality assurance are always required, efforts utilizing AI are accelerating to quickly detect equipment malfunctions or failures and to prevent troubles such as the occurrence of defective products.
Various sensors and devices can be installed on production equipment and machinery, allowing for the acquisition of time-series data of measurement values and control parameters. The "Anomaly Detection App" of the anomaly detection solution Impulse uses such time-series data to detect unknown anomalies using AI technology, rather than the traditional threshold-based system, while the "Cause Analysis App" can analyze the causes of anomalies.
In this webinar, after introducing case studies of time-series data analysis utilizing AI technology, we will pick up the following two cases and explain the creation and analysis methods of anomaly detection models using actual screens and data, along with demonstrations.
- Detection of precursors to plant equipment failures
- Analysis of defect causes in the injection molding process of automotive parts manufacturing


Date and time | Friday, Nov 25, 2022 01:00 PM ~ 01:40 PM |
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Entry fee | Free |
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