Intelligent Maintenance

•HARSH CHAUHAN•GURUCHARAN SINGH RALLHAN•DANIEL LAUREANO

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

Agenda INTRODUCTION

VISION

EXAMPLE OF A BOILER

CONDITIONAL BASED MAINTANENCE

MODERN COMPUTING & COMMUNICATION TECHNILOGY

IMS SYSTEM

SCOPE

CONCLUSION

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.

...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.

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 don’t know.”

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. 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

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

SCOPES

IMS VALUATION BY INDUSTRIES

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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