IMS Predictive Technologies for Self-Maintenance ...14/1200_Lunch-Alex_Schwarzkop… · 1. Won PHM...
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www.imscenter.net © Copyright IMS Center, 2013. All Rights Reserved. IMS Predictive Technologies for Self-Maintenance Industrial Systems NSF I/UCRC since 2001 Jay Lee Ohio Eminent Scholar, L.W. Scott Alter Chair, and Distinguished Research Professor Univ. of Cincinnati [email protected] & Director NSF Industry/University Cooperative Research Center on Intelligent Maintenance Systems (IMS) Univ. of Cincinnati, Univ. of Michigan, Missouri Univ, of S&T , Univ. of Texas-Austin
Transcript of IMS Predictive Technologies for Self-Maintenance ...14/1200_Lunch-Alex_Schwarzkop… · 1. Won PHM...
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IMS Predictive Technologies for Self-Maintenance Industrial Systems
NSF I/UCRC since 2001
Jay Lee
Ohio Eminent Scholar, L.W. Scott Alter Chair, and Distinguished Research Professor Univ. of Cincinnati
Director NSF Industry/University Cooperative Research Center on
Intelligent Maintenance Systems (IMS) Univ. of Cincinnati, Univ. of Michigan, Missouri Univ, of S&T, Univ. of Texas-Austin
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The IMS Center
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Drivers and Transformation Technologies 2001
Unexpected
Breakdowns
��
Common Issues
Costly Downtime and Constrained
Productivity
Reactive Approach to Service (Ad Hoc and Firefighting)
Excessive Warranty
Costs
Too Much or Incomplete Data or
Not in Useful Format
IMS
Focus
�Degradation
Modeling
Predictive Informatics Tools (PHM)
Maintenance Analytics &
Decision Support Tools
�
Common Attributes &
Needs Multi-Sensor Data
Fusion
Degradation Assessment and
Prediction
Retrievable Information from
Anywhere at Anytime
�������Fail & Fix (FAF) ! Predict & Prevent (PAP)
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Principal Components Performance Feature
200 210 220 230 240 250 260 270 280 3
3.5 4
4.5 5
5.5 6
6.5 7
7.5
Cycle Number
Prin
cipa
l Com
pone
nt
Actual Data Prediction Actual Data Prediction Uncertainty
Prediction of �Machine Performance Life
Predictive Analytics and Instrumentation
Normal Behavior
Most Recent Behaviorr
Health Feature Radar Chart
00.20.40.60.81 Bearing
1
0
Degradation
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Visible Invisible
Solve
Avoid
IMS Research Transformation Strategy
Problem Solving Through Instrumentation, Analysis, and Demonstration
Utilize New Knowledge/ Technologies For Prediction and Smart Information
Utilize New Methods/ Techniques to Understand The Unknown Problems
Innovation using Smarter Models For Unknown Knowledge
2010- 2020 2000-2010
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Wind Turbine Health Monitoring System
www.windturbinephm.com
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NI LabVIEW Watchdog Agent® Toolkit�
Gray icons are LabVIEW built-in functions
FEATURES FEATURES FEATURES
HEALTH INDEX
HEALTH INDEX
HEALTH INDEX
FUTURE HEALTH
FUTURE HEALTH
FUTURE HEALTH
ROOT CAUSE
ROOT CAUSE
ROOT CAUSE
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Global Industry Partners (80)
CANADA • Syncrude
BELGIUM • FMTC
CHINA • CEPREI • CEI • Sinovel • Beijing Shenzhou Software • AITRI Shanghai • Sany Heavy Industry
FINLAND • Kone
FRANCE • Alstom
GERMANY • FORCAM • Siemens
HONGKONG • Metron Hongkong Ltd.
JAPAN • Omron Corporation • Nissan • Hitachi • Komatsu • Mitsubishi Heavy Industry
• Toshiba Corporation
KOREA • Samsung Semiconductor • Samsung (Electro-Mechanics
SPAIN • Tekniker
TAIWAN • HIWIN • III • PMC • MIRDC • Psi • ITRI • Delta Electronics • Tongtai Machine Tool
BRAZIL • CETA/SENAI
USA • P&G • NI • Parker • Goodyear • Boeing • GE • Woodward • API • GCWW • TechSolve • Applied Materials (2) • LAM • TI • Micron • Canrig • Raytheon • Emerson • Idaho Nat. Lab • Ingersoll Rand • Spirit Aerosystems • 21st Century Systems • Avetec • Eaton • Kistler •
• SCK • HRL • Ford • Intel • Caterpillar • BorgWarner • Montronix • Daimler-Chrysler • Harley-Davidson • Johnson Controls
• Chevron • ETAS • USPS • Festo • Cisco • Coherix • EDAptive
• Genex • Toyota • Inteligistics • Prometec • Rockwell
• Siemens TTB • Bosch • McKinsey & Co. • United Technologies
• We Energies
LEGEND: • Active Member • Past Member
CHINA • China State Ship Co. • Dongling Tech • Haier • Shanghai Electric • Bao Stell • Saanxi Heavy Truck
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IMS Major Impacts 1. Won PHM (Prognostics and Health Mgt) Data Challenges Competition for 2008 (1st and 3rd) ,2009 (1st, 2nd, 3rd), 2010 (3rd), 2011 (1st and 3rd), 2012 (3rd), 2013 (3rd, 4th, 5th). 2. Ranked the highest Economic Impacts (1:270) by NSF Economic Impact Study Report in 2012. 3. NSF ICorps Award (2012) for New Company Spin Off-Predictronics 4. NI for IMS License Trials started in Oct. 2011—NI Toolkit Official Global Licensing Will Start 2014. 5. 85% of IMS students joined IMS member companies (including GM, Boeing, GE, Siemens, Cummins, Caterpillar, Parker, Eaton, Goodyear, FORCAM, UTRC, Bosch, etc.)
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Agility Business Model Contagiousness Delivery Excellence (Education, Execution, Energy, Entrepreneurship, etc.)
Key Attributes of A Sustainable I/UCRC
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