【Finally, tomorrow, November 25 (Friday)】 Explanation of AI use cases and methods using a time series anomaly detection application.
伊東商会
In the manufacturing field, where constant improvement in productivity and quality assurance is required, efforts utilizing AI are accelerating to quickly detect equipment malfunctions or failures and to prevent issues 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 from measurement values and control parameters. The abnormal detection solution Impulse's "Abnormal Detection App" uses such time-series data to detect unknown anomalies by leveraging AI technology, rather than relying on traditional threshold-based systems. The "Cause Analysis App" can analyze the factors leading to the occurrence of anomalies.
In this webinar, after introducing case studies of time-series data analysis utilizing AI technology, we will pick two specific cases from those studies and explain the creation and analysis methods of the anomaly detection model using actual screens and data, along with demonstrations.
- Detection of early signs of plant equipment failure
- Analysis of defect factors in the injection molding process of automotive parts manufacturing
| Date and time | Friday, Nov 25, 2022 01:00 PM ～ 01:40 PM |
|---|---|
| Entry fee | Free |
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