ims_introduction_2015

The National Science Foundation
Industry/University Cooperative Research Center for
Intelligent Maintenance Systems
NSF I/UCRC Since 2000
University of Cincinnati
Baldwin Hall 560
Cincinnati, OH 45221-0072
513.556.3412
513.556.3390
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2
Introduction & Overview
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THE IMS CENTER
The IMS Center is a leading NSF Industry/University Cooperative Research Center (I/UCRC) in the area of
Prognostics and Health Management (PHM). The Center has over twelve years of experience in developing
and delivering PHM solutions for a wide-range of applications. IMS Center’s mission is to enable products
and systems to achieve and sustain near-zero breakdown performance, and transform maintenance data to
useful information for improved productivity and asset life-cycle utilization. Since its inception, the Center has
conducted over 100 successful industry and NSF supported projects, and has attracted over 80 members from
all across the globe. The IMS Center was recently identified as the most economically impactful I/UCRC in
NSF’s recent study titled Measuring the Economic Impacts of the NSF Industry/University Cooperative Research
Centers Program: A Feasibility Study. According to this study, the Center delivered its members a $846.7
Million in combined benefits over the last ten years.
INTERNATIONAL MEMBERS AND COLLABORATORS
Over the past twelve years, the IMS Center has worked with over 80 members from over 10 countries,
including the US, Taiwan, Japan, China, Germany, Brazil, Finland, Spain, Belgium and France. In addition,
the Center has collaborated with research institutions and organizations throughout the world. These
collaborations give the Center a global perspective, which further broadens the potential applicability of its
solutions, and enhances the development of the Center’s researchers and staff.
IMS CENTER MEMBERSHIP
There are two types of IMS Membership: full and affiliate. Full members are companies or organizations
with more than 500 employees and pay a membership fee of $40,000 annually; affiliate members have less
than 500 employees and pay $12,000 annually. All members enjoy over a 30 to 1 leveraging ratio, and the
opportunity to develop specific research projects with the center, based on their interests. Membership is the
highest level of collaboration.
SELECTED MEMBERSHIP BENEFITS
» IMS technologies & methodologies
» Company-specific projects
» IMS researchers for internships
» Consulting & training opportunities
» Share best practices & experiences
» Extensive networking opportunities

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Core Technology
Health Assessment
Logisitic Regression Neural Networks
Statistical Pattern Recognition Gaussian Mixture Model
Self-organizing Maps Atuo-Associative Neural Network
Signal Processing & Feature
Extraction
Time Domain Analysis Wavelet Analysis
Frequency Domain Analysis Principal Component Analysis
Time-frequency Analysis Expert Extracted Features
Health Diagnosis
Time Domain Analysis Wavelet Analysis
Time-frequency Analysis Expert Extracted Features
Performance Prediction
Autoregressive Moving Average Match Matrix
Recurrent Neural Network Trajectory Similarity-based
The Watchdog Agent® is a collection of intelligent software tools developed by the IMS Center that can be
customized for monitoring equipment and systems in many diverse applications. Monitoring in this regard can
refer to health or condition assessment, fault detection and performance prediction, among others. Monitoring
results can be used in an enterprise resource planning system to ensure the appropriate preventative actions
are taken before failures can occur, optimizing maintenance scheduling and resulting in extensive cost savings.
The Watchdog Agent®-enabled monitoring process begins with the identification of critical equip-
ment. Sensors and data acquisition systems accumulate raw performance data from this equipment. Features
are then extracted using signal processing tools. These features are then analyzed using appropriate tools
specialized for health and performance assessment. When the performance of the monitored equipment falls
below a defined threshold, fault diagnosis tools can determine the specific fault type and location. If data from
previous operations exists, performance degradation can be further analyzed by prediction tools to determine
when potential failures will occur, thus making the Watchdog Agent® a transformational technology for pre-
dicting and preventing failures for worry-free uptime.
Watchdog Agent® Tools

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WATCHDOG AGENT® OVERVIEW

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NEW TECHNOLOGIES - CLOUD-BASED PROGNOSTICS
The IMS Center has developed a cloud-based solution to monitor the health of industrial robots using torque
signals. This system is designed to be scalable, and to require little to no additional instrumentation. Beyond
industrial robots, this solution could be deployed for many different applications that involve a large number
and/or widely distributed assets. A similar solution for bearing health monitoring has also been developed
that integrates the Center’s virtual bearing concept.

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NEW TECHNOLOGIES - MOBILE HEALTH MONITORING APPLICATIONS
The development of the Center’s cloud-based pronositcs platform has enabled the creation of the Center’s
first mobile app-based health monitoring solution. The IMS Center’s Mobile Health Monitoring Application
can provide users with flexibility as well as functionality. This App presents a global view of the user’s facility
or production line while also allowing the user to drill down to see the health status of each individual
machine and each individual component being monitored.
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NOTIFICATIONS LOGIN SCREEN PLANT VIEW ASSET VIEW COMPONENT VIEW

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Patent Title Patent Number Industry / Application
Methods for Prognosing
Mechanical Systems
This Patent was awarded for novel methods
for predicting when a failure will occur in
a mechanical system based on extracting
features from measurement data and selecting
a prediction model based on the degradation
status of the mechanical system and a
reinforcement learning model.
US – 8,301,406 Manufacturing and Industrial
Assets and Systems
Turbine-to-Turbine Prognostics
Technique for Wind Farms
This patent was awarded for novel methods for
predicting the remaining-useful-life of a wind
turbine or turbine component based on the
performance of wind turbines within a clus-
ter of turbines. These clusters are established
based on performance metrics within a turbine
farm, as well as environmental conditions, age,
historical information, etc.
US – 13/674,200 Wind Turbine Farms and other
Mechanical Fleet Systems
Methods and Systems for Energy Prognosis
This patent was awarded for novel methods for
determining and predicting the health condi-
tion and operating performance of a system
based on non-intrusive power consumption
measurements.
US – 20110066391 Manufacturing and Industrial
Assets and Systems
IMS CENTER PATENTS

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Patent Title Patent Number Industry / Application
Method and System for Electric
Vehicle Battery Prognostics and
Health Management
This patent was awarded for a novel system
for managing the mobility of an electrically-
powered vehicle. This system is based upon
inputs from a network of sensors that
provide details about the operating condition
of the vehicle as well as the ambient and
environmental conditions. The estimates
and prediction of mobility is displayed for
the user for improved decision making.
US – 20120296512
INT – PCT/US12/35136
Electric Vehicles and
Autonomously Guided Vehicles
Method and System for Prognostics
& Health Management Based on
Cloud Computing
This provisional patent was filed based on a
novel method for assessing and predicting
health and performance of a system utilizing
advances in cloud computing, cyber-physical
systems, modeling and prognostics.
US – 61/509,945
(Provisional)
Manufacturing and Industrial
Assets and Systems
Quick-test Method for Battery State of
Charge Estimation
A provisional patent application has been
submitted for a novel method for rapidly test-
ing and determining the initial quality and
potential life-cycle of a battery.
Provisional Patent Battery Manufacturing and
Electric Vehicles
IMS CENTER PATENTS

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AMD CENTER IMPACTS MEMBER IMPACTS GREATER IMPACTS
The IMS Center’s expe-
rience with AMD has
enabled it’s researchers
to expand the applicabil-
ity of IMS technologies
and to acquire additional
research opportunities
in the semiconductor in-
dustry, including projects
with ISMI, SiSoc and Ap-
plied Materials.
Due to its involvement in
the IMS Center, AMD was
able to incorporate the
Center’s technologies into
its production lines. In
addition, AMD was able
to hire Dr. Lei Yang, one of
the Center’s most gifted
researchers. ISMI was able
to generate interest in IMS
work among its members.
The semiconductor indus-
try is of great importance
to the US economy. The
work conducted at the
Center in this area will
continue to help the US
maintain its competitive
edge, bring about new
innovations, and realize
substantial cost-savings.
Semiconductor
Industry
Domestic
2006 - 2008
GE Aviation CENTER IMPACTS MEMBER IMPACTS GREATER IMPACTS
Through collaborations
with GE Aviation in many
aspects of intelligent
manufacturing, IMS tech-
niques have been validat-
ed and demonstrated in
test-beds equipped with
cutting-edge technologies.
Researchers have been
able to gain work experi-
ence in a global corpo-
rate environment while
understanding the role of
resarch in industry.
GE aviation has quickly
integrated IMS smart
machine techniques into
their engine production
process. This will make
GE’s competitive advan-
tages sustainable in global
markets. Several IMS stu-
dents have been hired by
GE business and research
centers.
This collaboration sets a
good example for trans-
ferring scientific and
technological research
to real production ben-
efits. In addition, many
research developments
and techniques have been
published and patented,
broadening the impact of
this work beyond the Cen-
ter and its members.
Aviation Industry
Domestic
2007 - Present

MEMBER IMPACT HIGHLIGHTS

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Harley-
Davidson
CENTER IMPACTS MEMBER IMPACTS GREATER IMPACTS
This collaborative effort
resulted in the integra-
tion of Watchdog Agent®
prognostics platform
into an existing indus-
trial monitoring system. A
standardized approach for
integration of IMS tech-
nologies has been estab-
lished based on this work,
giving the Center the abil-
ity to rapidly deploy its
technologies on multiple
platforms.
The integration of the
Watchdog Agent®
platform made possible
real-time health moni-
toring and prognostics
for multiple networked
machines, which resulted
in a more cost effective
production line at Harley-
Davidson motor company,
as indicated in the article
Harley-Davidson: Born to
be … Predictable in Lean
Tools for Maintenance &
Reliability magazine.
The achievements made
in working with Harley-
Davidson can be applied
to most of large scale
factories with a number of
machine tools and similar
machines. The techniques
developed impact the
field of enterprise asset
management by providing
as solution for acquiring
accurate machine health
information.
Manufacturing
Process
Domestic
2001 - 2008

KOMATSU CENTER IMPACTS MEMBER IMPACTS GREATER IMPACTS
The advance techniques
developed in collaboration
with Komatsu established
a new area for the applica-
tion of prognostic tech-
nique, which has helped
IMS attract more diverse
members and deliver
additional benefits to its
current members.
The developed techniques
through collaboration
with the IMS Center have
given Komatsu the ability
to transform data into
information and accurate,
timely decisions. In addi-
tion, through the hosting
of a Komatsu engineer,
the IMS Center was able
to further disseminate its
technologies and methods
throughout Komatsu’s
business units.
IMS members from US are
able to learn more recent
prognostic efforts made
by their global competi-
tors. The methodology de-
veloped can be leveraged
in many industries with
widely distributed as-
sets, such as automotive,
heavy-duty construction
equipment and mining
equipment, among others.
Vehicle Telematics
International
2005 - 2008

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P&G CENTER IMPACTS MEMBER IMPACTS GREATER IMPACTS
A series of collaboration
projects with P&G has
enabled the IMS Center
to extend prognostics
research beyond tradi-
tional equipment-based
techniques to high speed
complex production pro-
cess applications. Another
result of this project is
that prognostic techniques
developed by the Center
have been validated in a
commercial production
control system, exhibiting
that these techniques are
robust and reconfigurable
for multiple applications.
P&G has made consider-
able efforts to realize
process-oriented quality
improvement by employ-
ing digitalized information
in the production envi-
ronment. A large amount
of investment has been
placed i advanced vision/
sensor technology to
inspect crucial processes.
It is the IMS tools provide
a systematic solution for
information handling
and decision making.
These tools are able to
save the company nearly
$10,000,000 per year.
The successful story of the
collaboration proves that
for process-oriented man-
ufacturing industry the
automation of information
handling can dramatically
improve productivity and
product quality. Advanced
data analysis tools and
systematic design of
analysis agents can play a
crucial role in the infor-
mation evolution
Manufacturing
Process
Domestic
2006 - Present
PMC CENTER IMPACTS MEMBER IMPACTS GREATER IMPACTS
With PMC, access to real-
world data machine tool
manufacturer Chevalier
enabled the advancement
of the Watchdog Agent®
tools. From a laboratory
prototype, a complete
machine tool monitoring
system was developed and
demonstrated. The use
of fixed cycle feature test
(FCFT) in this project, has
informed projects with
other companies including
GE, TechSolve, Nissan, etc.
As a machine tool re-
search institute in Taiwan,
PMC was able to help
demonstrate and educate
machine tool suppliers
and manufacturers how
PHM can be developed
and implemented in order
to improve their equip-
ment uptime and add
value to their customers.
The adoption of PHM
systems on the produc-
tion floor has been slow
and gradual thus far. The
continuous validation and
improvement can hasten
the adoption process so
that both manufacturers
and customers can benefit
from the added value that
PHM delivers.
Machinery
International
2006 - Present

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SIEMENS CENTER IMPACTS MEMBER IMPACTS GREATER IMPACTS
Under the collaboration
with SIEMENS TTB, The
IMS Center developed
a reconfigurable “Plug-
n-Prognose” black box
which can be easily and
effectively used for prac-
titioners to assess and
predict the performance
of critical components. A
patent was awarded for
this unique technology.
Due to collaboration with
IMS Center, Siemens was
able to develop a new
service for its customers,
strengthening SIEMENS
product in the competitive
market. In addition, SIE-
MENS hired Dr. Leo Liao,
one of the Center’s most
gifted researchers.
The patented technol-
ogy provides prognostics
information for rotary
machinery components
with minimum human
intervention. Commer-
cialization of such tech-
nologies further brings
attention to the benefits of
PHM integration.
Machinery
International
2007 - 2009
TOYOTA CENTER IMPACTS MEMBER IMPACTS GREATER IMPACTS
The Toyota facility
(TMMK) in Lexington, KY
has provided the Center
with several real-world
testbeds involving such
critical assets as compres-
sor and industrial robots,
in order to validate Watch-
dog Agent® tools and
algorithms. The company
setup a robot test cell
within their production
floor, as well as allocating
two robots for experimen-
tation that were used by
IMS researchers.
With the IMS collabora-
tion, Toyota was able
to upgrade their com-
pressors with the surge
protection and avoidance
capability. This function-
ality allowed the com-
pany to save $50,000 on
energy expenses annu-
ally. With regard to the
robot project, production
floor health maps were
developed in order to
determine production
bottlenecks to prioritize
maintenance activities.
As companies push for
reduction in carbon emis-
sions, poor energy con-
sumption due to degrad-
ing/inefficient equipment
performance is critical
area that can be inves-
tigated. With the use of
Watchdog Agent® tools,
such energy inefficient
equipment can be identi-
fied and controlled.

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North
America
21st Century Systems Chevron GE Aviation Inteligistics Rockwell
Advantech Cisco Genex ITW SCK
API Coherix GM Johnson Controls Siemens TTB
Applied Materials Daimler-Chrysler Goodyear Kistler Spirit Aero
ARL Eaton Harley-Davidson McKinsey & Co. Toyota
Avetec EDAptive Honeywell Montronix United Technologies
Boeing ETAS HRL National Instruments USPS
BorgWarner Festo Idaho Natl Lab P&G We Energies
Bosch Ford Ingersoll Rand Prometec Woodward
Caterpillar FTI Intel Parker Hannifin TechSolve
South
America
SENAI-CETA
Europe Alstom Transport FMTC FORCAM KONE Tekniker
ASIA
AITRI Delta Electronics ITRI OMRON Tongtai
Baoshan Steel GBS Komatsu PMC Toshiba
Beijing Shenzhou HIWIN MIRDC Samsung
CEI Hitachi Mitsubishi Shaanxi Auto
CEPREI IDEAS (III) Nissan Sinovel
INTERNATIONAL CURRENT AND FORMER IMS MEMBERS

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INTERNATIONAL COLLABORATORS
Country Institution Institution
MOU
IMS
Member
Professor
Activity
Joint
Funding
Personnel
Exchange
Australia CIEAM X
Australia Queensland University of Technology X
Brazil SENAI – Satellite Center X X
Brazil Universidade Federal do Rio Grande do Sul X X
Canada University of Toronto X
China BUAA X X
China Beijing University of Chemical Technology X X
China China University of Petroleum-Beijing X
China North China Electrical Power University X
China Shanghai Jiao Tong University X X X X
China Tsinghua University X
China Xi’an Jiao Tong University X X
Egypt Nile University X
France Universite de Metz X
Germany Technische Universität Berlin X X
Germany University of Magdeburg X
Hongkong City University of Hongkong X
Hongkong Polytechnic University of Hongkong X
Japan University of Tokyo X
Norway University of Stavenger X
Singapore SIMTech – Satellite Center X X
Sweden Lulea University X X
Switzerland École Polytechnique Fédérale de Lausanne X X
Taiwan Industrial Technology Research Institute X X
Taiwan National Taiwan University X
Taiwan National Taiwan University of S&T X
Taiwan National Yunling University of S&T X X
Taiwan Precision Machinery R&D Center X X
UK University of Manchester X
UK Cranfield University X

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INTERNATIONALCURRENTANDFORMERIMSMEMBERS
SENAI-CETA
21stCenturySystems
Advantech
API
ARL
Avetec
Boeing
BorgWarner
Bosch
Caterpillar
Chevron
Cisco
Coherix
Daimler-Chrysler
Eaton
EDAptive
ETAS
Festo
Ford
FTI
GEAviation
Genex
GM
Goodyear
Harley-DavidsonWoodward
USA
Honeywell
HRL
IdahoNatlLab
IngersollRand
Intel
Inteligistics
ITW
JohnsonControls
Kistler
McKinsey&Co.
Montronix
NationalInstruments
P&G
Prometec
ParkerHannifin
Rockwell
SCK
SiemensTTB
SpiritAerosystems
TechSolve
Toyota
UnitedTechnologies
USPS
WeEnergies
AppliedMaterials
CANADA
Syncrude
BRAZIL
GERMANY
Forcam
FRANCE
Alstom
SPAIN
Tekniker
BELGIUM
FMTC
FINLAND
KONE
AUSTRALIA
CIEAM
AITRI
Baoshan
BeijingShenzhou
CEI
GBS
ShaanxiAutomotive
Sinovel
TAIWAN
Delta
HIWIN
IdeasIII
MIRDC
Tongtai
PMC
Hitachi
Komatsu
Mitsubishi
Nissan
Omron
Toshiba
JAPAN
S.KOREA
Samsung
CHINA
ITRI
IMSCENTERCURRENTANDFORMERMEMBERS

THANK YOU!
CONTACT US
For more inforamation on becoming a member and for
updates on exciting new developments at the IMS Center.
Jay Lee
Ohio Eminent Scholar
L.W. Scott Alter Chair Professor
Department of Mechanical & Materials Engineering
Director
NSF Industry/University Cooperative Research Center for
Intelligent Maintenance Systems (IMS)
+1.513.556.2493 Tel
+1.513.446.3390 Fax
jay.lee@uc.edu
www.imscenter.net

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