Predix Data Fabric & Digital Twin Framework- Platform for Continuous Learning (Minds & Machines 2017)
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Predix Data Fabric + Digital Twin Framework = Platform for Continuous Learning
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Predix Data Fabric & Digital Twin Framework- Platform for Continuous Learning (Minds & Machines 2017)
- 2. THOMAS BENJAMIN Chief Technology Officer, GE Aviation Predix Data Fabric – Foundation for Continuous Learning DINAKAR DESHMUKH VP Data & Analytics , GE Aviation
- 3. Content Slide • Analytics & Continuous Learning Reference Architecture • Under the hood – Predix Data Fabric • Airline Disruption Management Use case • Time Series Analysis for deeper insights • Aircraft Predictive Maintenance Use case
- 4. Raw Data Modeled Data Connecting Silo’s of Airline Systems Continuous Learning Platform - PREDIX Ingestion Batch Micro Batch Real-time Airline Operations Crew Operations Maintenance Systems Flight Operations Passenger Reservations Revenue Management Airline Integrated Operating System Digital Twin Framework Run-time Engine Orchestration Engine Analytics Catalog Learning Engine – Building Blocks Discover Operational Blind Spots Private Cloud Security Master Data Mgmt. Continuous Learning
- 5. October 30, 5 Private Cloud Ingestion Batch Micro-Batch Real-time Event Hub Predix Studio Trueconnect Raw Data Area Cleansed & Transformed Modeled Area Subject Area Mart Data Science Sandbox Under the hood – Continuous Learning Platform Digital Twin Framework Analytics Catalog Workbench Orchestration Engine Discovering Structure K-Means Cluster Hierarchical Cluster Spectral Cluster Similarity Metrics Analytics CI/CD Predicting & Forecasting Linear, Stepwise Regr. Random Forest Support Vector Regr. Neural Network, DL Survival Analysis/CDM Binary Logistic Regr. Support Vector Machine Neural Net Decision Trees/Randmon forest Anomaly Detection & Diagnostics Manifold Learning Gaussian fixture Model - EM Deep Learning models Baysian Belief Networks Security Continuous Learning Master Data Management
- 6. Airline Use Case’s for Continuous Learning
- 7. Aircraft delay prediction Airline disruption management – Use Case • External weather factors influence the aircraft flow • How to quantify ? • Can we use historical information and fuse multiple data sources ?
- 8. “Google” like search for time series Time series analysis for deeper insights • Search engine for industrial “time series” • Multi-variate time series search…scalable • Key enabler for risk assessment/root cause investigation
- 9. Aircraft corrosion prediction Aircraft predictive maintenance – Use case Network Routing Global Environmental Data (atmospheric sea salt concentration, for example)
- 10. Business Value - Efficiency & Effectiveness Improvement Airline Operations Crew Operations Maintenance Systems Flight Operations Passenger Reservations Revenue Management Airline Integrated Operating System Continuous Learning Platform
- 11. Thank You