Role of data in maintenance strategies

Dave Vernooy

Software & Digital Services Leader

GE Renewable Energy • April 14, 2016

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© 2016 General Electric Company

GE approach: physical + digital

Revenue

Reliability & availability

Lower costs

Lower risk, cost to serve

= + + Data Analytics Physics

Analytics Physics GE Digital GE Renewables

+ Launched 2011 • $1B+ investment

Silicon Valley location

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How does industry manage Wind fleets?

© 2016 General Electric Company

Keep equip running

Availability Reliability

Asset Performance

Improve operations

Operations Optimization

Make money

Business Optimization

Plant Operators Commercial Managers Fleet/Asset Managers

1 2 3

AEP Enhancement Productivity

Growth Profitability

Advanced Maintenance Strategies

Run to “Failure”

• Reactive

• Fault/Downtime

• Component Failure

• E.g. Sensors

Failure, Repair

Preventative

• Planned

• Schedule time

intervals

• Bolts/torque,

grease, filters

Planned Maintenance PM

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Advanced Maintenance Strategies

Predictive

• Initiation & failure

between PMs

• Can be sudden

• Batteries, Yaw

Pucks, gearbox

Failure Repair

PM PM

Initiation

Run to “Failure”

• Reactive

• Fault/Downtime

• Component Failure

• E.g. Sensors

Failure, Repair

Preventative

• Planned

• Schedule time

intervals

• Bolts/torque,

grease, filters

Planned Maintenance PM

Condition Based

• Use indicators of

equipment perf

• Failure time > PM interval

• Oil Quality, pitch

bearings, g’box

Failure Initiation Repair

PM PM

© 2016 General Electric Company

Data-driven value creation for O&M

Data

SCADA Data

Vibration Condition

Monitoring

Inspection & Field Reports

Oil Samples

Electrical Data

VOLUME

VELOCITY

VARIETY

VARIABILITY

© 2016 General Electric Company

Data-driven value creation for O&M

Data

SCADA Data

Vibration Condition

Monitoring

Inspection & Field Reports

Oil Samples

Electrical Data

VOLUME

VELOCITY

VARIETY

VARIABILITY

Analytics

Electrical Signatures

SmartSignal

CMS analysis

PulsePOINT

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Parameter Analysis

© 2016 General Electric Company

Data-driven value creation for O&M

Data

SCADA Data

Vibration Condition

Monitoring

Inspection & Field Reports

Oil Samples

Electrical Data

VOLUME

VELOCITY

VARIETY

VARIABILITY

Analytics

Electrical Signatures

SmartSignal

CMS analysis

PulsePOINT

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Parameter Analysis

Value

Case Management

Fleet Optimization

O&M Planning

Inventory Optimization

© 2016 General Electric Company

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Learn data interdependencies … Principal components, data clustering

Determine comparative analytic … Time series, multivariate analysis

Deploy analytic for automated detection and notification

PulsePOINT, SmartSignal, etc…

Ingest data into GE infrastructure … Predix platform

Affected Turbines

GE Renewables … diagnostics development

© 2016 General Electric Company

© 2015 General Electric Company - All rights reserved

Diagnostic Engineers

Fleet Reliability Engineers

Design Engineers

Service Technicians

Digital Tools … People & Process Centric

Business Culture

• Business wide definition of

Failure: Fault, Downtime, Component Failure, Turbine Visits

• Tools & Process to …

Monitor turbines

Notify pending work to sites

Track completion

Empower technicians on site

Cross functional communication is essential

Everyone must be “All In”

Communication

• Data scientists + experienced field troubleshooters + failure analysis experts

• Accurate feedback from field

teams