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 

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

.  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)“.

.  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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