Intelligent Maintenance
•HARSH
CHAUHAN
•GURUCHARAN SINGH RALLHAN
•DANIEL LAUREANO
Overview
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RESOURCE
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AUTHORS
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Intelligent Maintenance Systems and Predictive
Productivity Vision and Perspectives.
Dr. Jay Lee
Director, NSF Industry/University Cooperative
Research Center on Intelligent Maintenance
Systems (IMS) Center.
ELECTRONIC ACCESS
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www.imscenter.net
Agenda
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INTRODUCTION
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VISION
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EXAMPLE OF A BOILER
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CONDITIONAL BASED MAINTANENCE
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MODERN COMPUTING & COMMUNICATION TECHNILOGY
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IMS SYSTEM
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SCOPE
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CONCLUSION
INTRODUCTION
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Intelligent Maintenance is a Technique
in which modern computing
&Communication technologies and
Machines are fixed with the sensors
and are connected through network
enable their performance is monitored
in their actual working environment.
...INTRODUCTION
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IMS technologies help to predict and
forecast equipment performance, so
as to achieve “near-zero breakdown” status.
Intelligent maintenance systems
(IMS) aim to transform maintenance
into predictive reliability.
VISION
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The vision for the Center for
Intelligent Maintenance Systems is
to enable products and systems to
achieve and sustain near-zero
breakdown performance, and
ultimately transform the traditional
maintenance practices from "fail
and fix " to "predict and prevent"
methodology.
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Example of a Boiler under IMS
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Why do we need to maintain things regularly?
The answer is, “To keep things as reliable as
possible.”
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How much change or degradation has occurred since
the last round of maintenance?”
The answer is, “I don’t know.”
Conditional Base Maintenance
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Condition-based maintenance (CBM) deals
with online data. Machine conditions are
constantly monitored and their signatures
evaluated.
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However, this is done at the machine level
-- one machine at a time. It’s a “fail-and-fix
approach.” Troubleshooting is the primary
purpose.
CBM
CBM focuses on sensors and
communications. All products and
machines are networked by some
means. It’s hard to know, though,
what to do with all this data. We
need to turn data into information by
using computational tools to process
data locally
IMS SYSTEM
EMBEDDED WATCHDOG AGENT
SYSTEM DECISION SUPPORT TOOL
FLOW OF INFORMATION
Modern Computing &
Communication Technologies
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Intelligent maintenance systems (IMS) predict
and forecast equipment performance so “near-zero
breakdown” status is achievable.
There are two reasons for failure: equipment
performance and operator/human error.
Near-zero downtime focuses on predictive
techniques to minimize failures. It focuses on
features of machine performance
.
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Data comes from two sources: sensors and the
entire enterprise system
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By correlating data from these sources (current and
historical), you can predict future performance.
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The goal is to predict product/machine health in the
same way that the weather is forecast
SCOPES
IMS VALUATION BY INDUSTRIES
CONCLUSION
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Scope: Reduce and eliminate costly, unscheduled
downtime and unexpected breakdowns.
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Scope: With the advent of Internet, companies
necessitate changes in transforming traditional "fail
and fix (FAF)" maintenance practices to a "predict
and prevent (PAP)“.
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Intelligent Maintenance fundamental needs of
predictive intelligence tools to monitor the
degradation rather than detecting the faults .
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Means: Using advanced pervasive computing,
embedded intelligence, and tether-free
communications technologies to enable products and
systems to achieve autonomous functional
objectives.
.
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Means: Using advanced pervasive
computing, embedded intelligence,
and tether-free communications
technologies to enable products and
systems to achieve autonomous
functional objectives.
.