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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