Gas Chromatograph AI Maintenance Support (GCAI) for GC8000

AI-based Predictive Detection and Future Prediction for Preventive Maintenance of Process Gas Chromatographs

AI-based real-time monitoring and predictive detection of chromatograms

Using the measurement data of GC8000(s) connected to our analyzer server software (PCAS), “unusual“ measurement conditions can be detected as anomalies by the machine learning model built within GCAI and visualized in real-time.
This machine learning model can be easily built by simply selecting the normal chromatogram data of the GC8000 to be used as a reference.  Since the model employs a unique detection algorithm for each chromatogram, it can be adapted to a wide variety of measurement specifications. Users can input and record the causes of detected anomalies.
Historical anomaly frequencies can be analyzed by cause to aid in preventative maintenance planning.

Support preventive maintenance with Resolution prediction

GCAI visualizes the transition of the resolution state of measured component peaks through monitoring. Resolution predictions are displayed by 1 day, 30 day, and 90 day intervals based on the separation trends to date. The user is notified when the predicted value falls below a predefined tolerance. Optimization of maintenance plans, such as parts and column replacement, can be predicted in accordance with the transition of the separation state of the measured peaks.

System Configuration

• GC8000(1～64units)
• Analyzer Server PCAS
• Gas Chromatograph AI Maintenance Support GCAI

Please refer to the general specifications (GS 11B06H01-01JA) for details regarding suitability for your specific application.

About OpreX

OpreX is the comprehensive brand for Yokogawa’s industrial automation (IA) and control business and stands for excellence in the related technology and solutions. It consists of categories and families under each category. This product belongs to the OpreX Analyzers family that is aligned under the OpreX Measurement category.