Applying a New Generation of Prognostics Across the Industrial Internet

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Applying a New Generation of Prognostics Across the Industrial Internet

description

How is the Industrial Internet impacting corporate productivity today and in the future? These slides will present on how the Industrial Internet creates a $7T opportunity by connecting people, advanced analytics and progressive machines. Learn about Industrial Internet, new killer applications like DigialClone Live, and how these processes come together to promote corporate strategy. Executives and strategic planners responsible for designing, testing, or operating rotating equipment more efficiently would be interested in watching the recorded presentation.

Transcript of Applying a New Generation of Prognostics Across the Industrial Internet

Page 1: Applying a New Generation of Prognostics Across the Industrial Internet

Applying a New Generation of Prognostics

Across the Industrial Internet

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Navair Presentation | Date 11.13.2013

OUR 10 YEAR RESEARCH PEDIGREE INVENTED A NEW WAY TO

MEASURE AND TEST ROTATING EQUIPMENT COMPUTATIONALLY

DEPARTMENT

OF DEFENSE

DEPARTMENT

OF ENERGYNATIONAL SCIENCE

FOUNDATION

October 23, 2014

Applying a New Generation of Prognostics Across the Industrial Internet

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Sentient Science is Based on Three

Fundamental Capabilities

• We are the leader in model-based

prognostics

• Model-based, multi-physics based

prognostics computational technologies

and services

• Our applications help extend the

remaining useful life (RUL) of new and

existing mechanical systems

• We reduce friction and improve

performance of bearings, gears,

drivetrains and mechanical systems

• We are a “killer” application for the

Industrial Internet

• The newest prognostics health

management )PHM application for

condition-based maintenance (CBM)

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Sentient Science Family

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What is the Industrial Internet?

Dr. Peter Closson Evans (GE Global Strategy and Analytics, 2013)

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Intelligent Machines – Advanced Analytics –

People at Work

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Connected Inside

Dr. Shoumen Datta, MIT

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z

Connected Outside

Dr. Shoumen Datta, MIT

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Why should you care?

GE estimates

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Gov’t & OEMs & Operatorsin alignment

on Maintenance Efficiency Strategy

B2B & B2C ecommerce Wave aka Dot Com

Bank Crisis ended rapid new wind turbine build out

and focused market on O&M,

Auto Crisis caused delay in Energy Demand Side of Mobile Assets

not ready until 2017+

2005 2009 Today

45,000 Wind Fleet Installed USA

95% have no solution

Yergin’s 5th Fuel

GE Industrial Internet

2000

Bank

Crisis

Material Genome Initiative

Advanced Manufacturing

Initiative

Industrial Internet

Consortium

DMDII – Digital

Manufacturing Design

Innovation Institute

17000 GE 1.5 off warranty

Off

Warranty

Inspection

End of PTC?

New EPA Carbon

Reduction Regulation

Consumer

Internet Wave

Industrial Internet

Wave

Energy

Efficiency

Wave

Auto

Crisis

2020

Impact on Renewable (Wind) EnergyExample: Wind Energy Plant, Asset & Components

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What is Sentient Science doing to

participate in the Industrial Internet?

Past

DIAGONSTICS

Over the

Industrial Internet

Future

PROGNOSTICS

Over the

Industrial Internet

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Tim

e

Co

nd

iti

on

Extend the Remaining Useful Life (RUL) through Prognostics

B – Mechanical Failure

C - Failure can be confidently

predicted - PROGNOSIS

Gap between current

diagnostic state D and future

prognostic state C.

Extended Life

through prognostic

A – Asset enters service

D – Operational Failure

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6 7 8 9 10 11 12 13 14 15 16 17 18 19 20

AS-IS %Yearly Failure AS-IS % Cum Failure

Industry Average – 1.5MW WTG – 500 Units

$-

$10,000,000.00

$20,000,000.00

$30,000,000.00

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AS-IS MW/Hr Cost AS-IS Yearly Cost

$-

$10,000,000.00

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$30,000,000.00

$40,000,000.00

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AS-IS MW/Hr Cost TO-BE MW/Hr Cost

AS-IS Yearly Cost TO-BE Yearly Cost

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AS-IS %Yearly Failure TO-BE %Yearly Failure

AS-IS % Cum Failure TO-BE %Cum Failure

Yearly

Cost

MW/Hr

Cost

5 years, $19M savings, 500% ROI 25% improvement per year

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Site Level Reports

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“As Is”

Quantify Impact of: Lubrication change, auto-lubrication systems, partial de-rating, etc.

Prognostics allows you to quantify “what-if” scenarios to extend RUL.

“To Be”

Linking Fleet Level Performance to

Component Level Performance

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System Level Reports

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Asset Level Reports

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What can be done?Manage the Fleet – Optimization Condition

Year: 2014

Today

Year: 2011

3.7%

As-Is Condition

100% Failures in 20

years

Optimized Condition

Reduction in % of

Failures

• Increase in turbine failure rate

expected in the next few years

• Significant increase in corrective

maintenance and O&M costs

expected in the next 5 years

• The goal is to reduce O&M costs

by reducing the risk of failure and

extending the life of turbines

• Life extension by quantifying the

impact of:

- High wind conditions

- Lubrication change

- Partial de-rating

- Uptower replacements

- Remanufacturing

Genpact

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Practical Examples - Rotorcraft

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Product Design Example: BoeingNext Generation Apache Drive Systems

Surface stress = -1200 MPa

Surface stress = -1000 MPa

1E+6 4E+6

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Sag Mill Example

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Applying a New Generation of Prognostics

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Supply Side Optimization

Using PrognosticsInventory and Supply

Chain optimization

Fleet Process

Optimization

O&M Improvements

SMART

GRID

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Conclusion

Cartoon copied from a PhD thesis submitted at a Danish university. Wireless sensor networks illustrated as key infrastructure.

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Diagnostics(analytical models)

Prognostics(analytical +

numerical models)

Intelligent Decision Making(Rules)

Current

Health

State

Future

Health State

Operation

State

PHM applied to Industrial

Internet

Control

Pa

st

Pre

se

nt

Fu

ture

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Applying a New Generation of Prognostics

Across the Industrial Internet