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

3

Need analytics targeting NERC-definedpower plant failure modes –

4

Gas Turbine

HRSG

Generator

Air Cooled Condenser

All Auxiliaries

Accessories + Skids

Steam Turbine+ Condenser

Electrical

Complex set of issuesSolution = software-defined operations

5

PaaS/SaaS Cloud services connect everything

October 25, 2016Presentation Title 6

Catalog of Reusable Analytics

Orchestration Engine for Analytics Workflows

Asset-aware Analytics

Analytics as a Service requirements

7

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

8

Deliver Analytics Services to multiple stakeholders

9

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

10

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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