GE Power's control applications portfolio focuses on real-time monitoring and optimization of power generation equipment through Predix technology. Key use cases include the Asset Life Odometer for forecasting maintenance and the Performance Advisor for monitoring gas turbine performance. Lessons learned emphasize the importance of a service-oriented architecture and the need for application flexibility across different operational contexts.

1. PEM2: Control Applications
Portfolio from GE Power
Michelangelo Russo
Senior Software Architect, GE Digital

2. 2PREDIX TRANSFORM
GE Power Controls: who we are, what we do1
Use cases: Asset Life Odometer, Performance
Advisor
Lessons Learned
2
3
• Demo
Q&A4
Agenda

3. 3PREDIX TRANSFORM
GE Power Controls
• Real-Time control of
Power-Gen equipment
• HW+SW, deployed on
premise
• > 400 people, worldwide
• > 3000 Units in the field,
up to 600 MW

4. 4PREDIX TRANSFORM
The IICS Environment
The Industrial Internet
Control System allows:
• Advanced monitoring and
optimization functions
available in real time
• Painless SW deployment
at fleet level
• Secure cloud connectivity
IICS
HYPERVISOR
CONTROL
APP
EDGE
ANALYTICS
Predix
Machine
(…)
Field Data
Predix
Cloud
Custom
App (…)
Level 1 -
Embedded Controls
(Mark VIe)
Level 2 -
Advanced Controls
(Predix Edge)

5. 5PREDIX TRANSFORM
Picture
Here
Use Case – Asset Life Odometer
Where is the Value
• Real-time monitoring of
forecasted maintenance interval,
based on machine’s usage
• Definition of “What-If” scenarios
What is the Solution
• Edge analytics implementing GE
guidelines and procedures
• Interactive UI accepting user-
defined operational profiles

6. 6PREDIX TRANSFORM
Use Case – Performance Advisor
Where is the Value
• Real-time monitoring of Gas Turbine
Performance Degradation
• Economics insights to drive maintenance
What is the Solution
• Edge analytics implementing GT/Plant
digital twin for accurate performance
calculations
• Real-time indication of optimal
maintenance scheduling

7. 7PREDIX TRANSFORM
Solution Architecture
Functional
Services Operating
Envelope
Predictor
GER 3620
(GT Life
Model)
Departure
Calculator
ST Life
Model
Apps
Asset Life
Odometer
Performance
Advisor
Virtual
Battery
Data & Connectivity
Services
Web
Services
Data
Collector
DB Manager
Analytics Services
ARES
(GT Digital
Twin)
Generic
Function
Solver
Regression
Engine
Predix Edge Services
OPCUA
Adapter
Local
DB
Websocket
Server
User Admin
HTTP(S)
Server
(…)

8. 8PREDIX TRANSFORM
Lessons Learned
• A Service Oriented Architecture is the key to
share common capabilities across Apps.
• SW lifecycle has to be made independent from
asset lifecycle.
• Applications have to be designed to be pluggable
and reusable in different contexts (Edge/Cloud).

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