Fault Annotation Library
BKOAI’s Fault Annotation Library automates real-time issue detection, enabling faster responses and more efficient troubleshooting through custom annotations and metadata
Goals
- Automate real-time operational issue detection for subject matter experts.
- Build a centralized library of custom annotations and process profiles.
- Make historical fault information easier to retrieve and reuse.
- Support troubleshooting with relevant process history and associated performance indicators.
Challenges
- Reliance on human memory makes historical process anomalies difficult to recognize consistently.
- High volumes of monitoring data make relevant fault patterns difficult to identify.
- Comparing current operating conditions with historical events requires manual effort.
- Troubleshooting requires access to both process data and the context surrounding previous events.
Solutions
- Deploy a Fault Annotation Library integrating anomaly detection and process-profile recognition.
- Provide an interface for subject matter experts to review and annotate identified events.
- Match real-time process patterns with historical profiles and associated annotations.
- Link annotations with historical periods of interest and associated performance indicators.
Results
- Created an organization-specific database of custom annotations and process profiles.
- Connected real-time process data with preconfigured annotations.
- Enabled operators to access historical periods of interest and associated performance indicators.
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