Giant Gray’s Graydient platform is an advanced, machine learning solution that teaches itself and continuously learns expected operating conditions purely through observation. This autonomous, adaptive approach provides scale and accuracy beyond what is attainable with traditional, modeling-based approaches. Graydient provides actionable insights from massive volumes of data across multiple sensor types, even in ever-changing industrial environments. This unique, patented, self-learning data-fusion platform delivers real-time insight and contextual intelligence for safety, security and operational efficiency without requiring pre-defined rules, models, custom programming or data analytics expertise. Graydient is highly scalable, adaptable and offers solutions via Graydient-V for Video, Graydient-S for SCADA, Graydient-C for Cyber, and Graydient-F for SCADA Forensic analysis.

Graydient-F for SCADA Forensic Analysis

Graydient-F for historical data analysis brings new levels of intelligence to Supervisory Control and Data Acquisition (SCADA) data scientists and analysts by providing fast, direct insight into SCADA data anomalies before alarm thresholds are reached.. Graydient recognizes the subtle and often-overlooked blips in the data stream that serve as early indicators to pending upset conditions. Identifying anomalous behavior patterns and correlations across multi-sensor composite groupings, Graydient-F allows data scientists/analysts to quickly focus on relevant data points for investigation and action. This historical analysis of SCADA data also gives data scientists and analysts a big-picture view of sensor alert likelihood, trends and patterns that enables preventative measures to be taken to mitigate process and equipment failure, and other safety issues.

Graydient-F is the ideal solution for organizations that want to improve the safety, security and efficiency of their operations along with boosting ROI through maximized production, lower maintenance costs and reduced downtime. Graydient-F’s historical analysis provides actionable insights beyond traditional alarm limits by learning normal conditions. Graydient-F analyzes data between the known failure points to provide early indicators of behavior deviations when system trends are not performing as expected.

Graydient-F Key Benefits:

  • Faster and Expanded Visibility to anomaly likelihood, trends and patterns to guide data scientists and analysts in reducing risks and improving operations.
  • Superior Anomaly Detection indicates subtle anomalies – even within a “normative” range – that can be precursors to equipment failure and indicators for risk mitigation improvements.
  • Enhanced Anomaly Trending provides views of sensors and sensor correlations over time that can improve product quality and identify operational improvement opportunities.
  • Improved Infrastructure Health Visibility provides precursor alarms for enhancement to condition-based maintenance and improved operational uptime.

Delivery Methods:

Graydient- F for SCADA Forensic Analysis – A professional service offering where customer-provided historical data is processed through the Graydient platform to produce charts of behavior anomaly likelihood, trends and patterns. Reports provide data scientists, analysts and other end-users with a quick view of anomalies and insight to help them further drive operational efficiency, risk mitigation or system process improvements.

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