Intelligent Maintenance

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Intelligent Maintenance

• HARSH CHAUHAN
• GURUCHARAN SINGH RALLHAN
• DANIEL LAUREANO

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Overview

• RESOURCE
• Intelligent Maintenance Systems and Predictive
  Productivity Vision and Perspectives.
• AUTHORS
• Dr. Jay Lee 
• Director, NSF Industry/University Cooperative
• Research Center on Intelligent Maintenance
  Systems (IMS) Center.
• ELECTRONIC ACCESS
• www.imscenter.net

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Agenda

• INTRODUCTION
• VISION
• EXAMPLE OF A BOILER
• CONDITIONAL BASED MAINTANENCE
• MODERN COMPUTING COMMUNICATION TECHNILOGY
• IMS SYSTEM
• SCOPE
• CONCLUSION

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INTRODUCTION

• 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.

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...INTRODUCTION

• IMS technologies help to predict and forecast
  equipment performance, so as to achieve
  near-zero break-down status.
• Intelligent maintenance systems (IMS) aim to
  transform maintenance into predictive
  reliability.

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VISION

• 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.
• How much change or degradation has occurred since
  the last round of maintenance?
• The answer is, I dont know.

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Conditional Base Maintenance

• Condition-based maintenance (CBM) deals with
  online data. Machine conditions are constantly
  monitored and their signatures evaluated.
• However, this is done at the machine level -- one
  machine at a time. Its a fail-and-fix
  approach. Troubleshooting is the primary
  purpose.

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CBM

• CBM focuses on sensors and communications. All
  products and machines are networked by some
  means. Its 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

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IMS SYSTEM
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EMBEDDED WATCHDOG AGENT
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SYSTEM DECISION SUPPORT TOOL
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FLOW OF INFORMATION
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Modern Computing Communication Technologies

• 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
• By correlating data from these sources (current
  and historical), you can predict future
  performance.
• The goal is to predict product/machine health in
  the same way that the weather is forecast

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SCOPES
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IMS VALUATION BY INDUSTRIES
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CONCLUSION

• Scope Reduce and eliminate costly, unscheduled
  downtime and unexpected breakdowns.
• 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 .
• 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.

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