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Confidential. Not to be copied, distributed, or reproduced without prior approval.
Bill Nieman, GE DigitalSolution Architect Manager, APM – North America
• Leader of GE Digital Solution Architect team for Asset Performance Management & Predix in North America (2011-2016)
• Leader of global SmartSignal Solution Architect team (2006-2011)
• SmartSignal Product Development & Application Engineering (1999-2006)
• AlliedSignal corporate R&D, Principle Scientist, Manufacturing Measurements group (1991-1999)
• Northwestern University, Materials Science & Engineering, Ph.D. (1991)
Confidential. Not to be copied, distributed, or reproduced without prior approval.
Platform & Solution Architecture for Building a Digital Power Plant
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“… though more than 90 percent of the data ever created in the world has been generated in just the past two years, only 1 percent of that data has been analyzed. Often, those analyses are conducted as discrete one-offs; nifty experiments, but not much more.”“Straight talk about big data,” Nicolaus Henke, Ari Libarikian, and Bill Wiseman, McKinsey & Co, 2016
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Need analytics targeting NERC-definedpower plant failure modes –
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Gas Turbine
HRSG
Generator
Air Cooled Condenser
All Auxiliaries
Accessories + Skids
Steam Turbine+ Condenser
Electrical
Catalog of Reusable Analytics
Orchestration Engine for Analytics Workflows
Asset-aware Analytics
Analytics as a Service requirements
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To be useful, open model framework needs to be constrained (achieved with business rules in the catalog)
Organization
Business Logic
Pumps
Positive Displacement
Kinetic
Centrifugal
Special Effect
Reciprocating
Rotary
Peripheral
Axial
Radial
Pump P456Impeller I4567Motor M123Bearings SKF3456Brush Assembly BA234
PumpMotor
Pump
BearingBrush Assembly
Asset & Group Classification Part Number Asset Structure Template
Business Rule Framework Catalog Configuration Management & Audit History
Broad application requires uniform Asset Services
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Deliver Analytics Services to multiple stakeholders
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Analytics Creation
Provision a sandbox environment
Explore data in sandbox with tools provided
Create and validate analytic models as reusable components
Deploy them in production environments
Analytics Consumption
Define flexible asset groups
Generalize analytics to broader class of assets
Model tuning and model regeneration
Learn the optimal analytics model in the cloud
Deploy analytics to the edge
Analytics architecture
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Triggers
Data Services
Application Services
Analytic Service UI
Orchestration Configurator Monitoring Dashboard Catalog Management
Configuration Services Monitoring Services
Runtime Services
Dispatcher Orchestration Execution Analytic Execution
Asset Data Handler
Catalog Services
GE Digital
“The real power of analytics-enabled insights comes when they become so fully embedded in the culture that their predictions and prescriptions drive a company’s strategy and operations.”“Straight talk about big data,” Nicolaus Henke, Ari Libarikian, and Bill Wiseman, McKinsey & Co, 2016
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General Electric Company reserves the right to make changes in specifications and features, or discontinue the product or service described at any time, without notice or obligation.These materials do not constitute a representation, warranty or documentation regarding the product or service featured. Illustrations are provided for informational purposes, and yourconfiguration may differ. This information does not constitute legal, financial, coding, or regulatory advice in connection with your use of the product or service. Please consult yourprofessional advisors for any such advice. No part of this document may be distributed, reproduced or posted without the express written permission of General Electric Company. GE,Industrial Internet and the GE Monogram are trademarksof General Electric Company.©2015 General ElectricCompany– All rights reserved.