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Minimize RSR Award Detail

Research Spending & Results

Award Detail

Awardee:UNIVERSITY OF MISSOURI SYSTEM
Doing Business As Name:Missouri University of Science and Technology
PD/PI:
  • Jagannathan Sarangapani
  • (573) 341-6775
  • sarangap@mst.edu
Award Date:09/13/2006
Estimated Total Award Amount: $ 250,000
Funds Obligated to Date: $ 349,999
  • FY 2010=$50,000
  • FY 2009=$99,999
  • FY 2006=$150,000
  • FY 2008=$50,000
Start Date:09/15/2006
End Date:08/31/2013
Transaction Type:Grant
Agency:NSF
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.041
Primary Program Source:490100 NSF RESEARCH & RELATED ACTIVIT
Award Title or Description:Industry/University Cooperative Research Center for Intelligent Maintenance Systems (IMS): FIVE-Year Renewal Proposal
Federal Award ID Number:0639182
DUNS ID:804883767
Parent DUNS ID:006326904
Program:IUCRC-Indust-Univ Coop Res Ctr

Awardee Location

Street:300 W 12th Street
City:Rolla
State:MO
ZIP:65409-6506
County:Rolla
Country:US
Awardee Cong. District:08

Primary Place of Performance

Organization Name:Missouri University of Science and Technology
Street:300 W 12th Street
City:Rolla
State:MO
ZIP:65409-6506
County:Rolla
Country:US
Cong. District:08

Abstract at Time of Award

This action continues the life cycle of the multi-university Industry/University Cooperative Research Center for Intelligent Maintenance at the University of Cincinnati, the University of Michigan and the University of Missouri-Rolla. This I/UCRC is in the forefront of research on predictive monitoring and prognostic and decision support tools. The I/UCRC aims to maintain its commitment to intellectual and technical excellence by horizontally fostering stronger international partnerships and vertically deepening its impacts to the current members, as well as to the advancement of scientific knowledge and tools for next-generation autonomous maintenance systems.

Publications Produced as a Result of this Research

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A. Soylemezoglu, S. Jagannathan, and C. Saygin "Mahalanobis-Taguchi-System as a prognostics tool for rolling element bearing failures" ASME Journal of Manufacturing Science and Engineering, v.132, 2010, p..

S. Mehraeen, S. Jagannathan, and K. Corzine "Energy harvesting from vibration with high voltage scavenging circuitry and tapered cantilever beam" IEEE Transactions on Industrial Electronics, v.57, 2010, p..

J. Vance, A. Singh, B. Kaul, S. Jagannathan and J. Drallmeier "Development and implementation of neural network controller for spark ignition engines operating lean" IEEE Transactions on Control Systems Technology, v.16, 2008, p.203.

B. Thumati and S. Jagannathan "A robust fault detection and prognostics scheme for nonlinear discrete time input-output systems" International Journal of Computational Intelligence and Control, v.2, 2009, p.71.

J.W. Fonda, M. Zawodniok, S. Jagannathan, and S. Watkins "Adaptive distributed fair scheduling for multiple channels in wireless sensor networks" International Journal of Distributed Sensor Networks, v.5(6), 2009, p.824.

J. Fonda, M. Zawodniok, S. Jagannathan, S. Watkins "Optimized-Energy Delay Subnetwork Routing Protocol Development and Implementation for Wireless Sensor Networks" Smart Materials and Structures, v.17, 2008, p.1.

P. Shih, B. Kaul, S. Jagannathan, and J. Drallmeier "Reinforcement learning based output-feedback control of nonstrict nonlinear discrete-time systems with application to engine emission control" IEEE Transactions on Systems, Man and Cybernetics: Part B, v.39, 2009, p.1162.

P. Shih, B. Kaul, S. Jagannathan, and J. Drallmeier "Reinforcement learning based dual-control methodology for complex nonlinear discrete-time systems with application to spark engine EGR operation" IEEE Transactions on Neural Networks, v.19, 2008, p.1369.

R. Anguswamy, C. Saygin, and S. Jagannathan "In-Process Detection of Fastener Grip Length Using Embedded Mobile Wireless Sensor Network-based Pull-type Tools" Special Issue on International Journal of Advanced Manufacturing Technologies, v.4, 2009, p.154.

E. Taqieddin, S. Jagannathan, and A. Miller "Optimal energy delay routing protocol with trust levels for wireless ad hoc networks" International Journal of Network Security, v.7, 2008, p.207.

C. Saygin and S. Jagannathan "Radio frequency identification (RFID) enabling lean manufacturing" nternational Journal of Manufacturing Research, v.6, 2011, p.321.

B. Thumati and S. Jagannathan "A model based fault detection and prediction scheme for nonlinear multivariable discrete-time systems with asymptotic stability guarantees" IEEE Transactions on Neural Networks, v.21, 2010, p.404.

B. Kaul, J. Vance, J. Drallmeier, and Jagannathan Sarangapani "A method for predicting performance improvements with effective cycle-to-cycle control of highly dilute SI engine combustion" Journal of Automobile Engineering, Proceedings of the Institution of Engineers-Part D, v.223, 2009, p.423.

J. Vance, B. Kaul, S. Jagannathan, and J. Drallmeier "Neuroemission controller for minimizing cyclic dispersion of spark ignition engines with EGR levels" International Journal of General Systems, v.37, 2009, p.44.

Gary Halligan and S. Jagannathan "PCA-based fault isolation and prognostics with application to pump" International Journal of Advanced Manufacturing Technology, v.55, 2011, p.699.

E. Taqieddin, A. Miller and S. Jagannathan "Survivability and reliability analysis of the trusted link state protocol for wireless ad hoc networks" International Journal of Wireless and Mobile Networks, v.3, 2011, p.77.

J. Vance, A. Singh, B. Kaul, S. Jagannathan and J. Drallmeier "Development and implementation of neural network controller for spark ignition engines with high EGR levels" IEEE Transactions on Neural Networks, v.18, 2007, p.793.

A. Soylemezoglu, S. Jagannathan and C. Saygin "Mahalanobis-Taguchi system as a multi-sensor based decision making prognostics tool for centrifugal pump" IEEE Transactions on Reliability, v.60, 2011, p.864.

C. Saygin, D. Mohan and S.Jagannathan "Real-time Detection of Grip Length during Fastening of Bolted Joints:A Mahalanobis-Taguchi System (MTS) based Approach" Journal of Intelligent Manufacturing, v.39, 2008, p.995.


Project Outcomes Report

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

The  vision of the Intelligent Maintenance Systems Center (I/UCRC) is “to enable products and systems to achieve and sustain near-zero breakdown performance, transforming the traditional “fail and fix” maintenance practices to a “predict and prevent” methodology”.  Since this Center Site was founded in 2006, the Site Director collaborated with the other two sites and with over 10 companies.  For the past project year there were  three affiliated universities:  University of Cincinnati, University of Michigan and Misosuri S&T.  The Missouri S&T joined the other two sites in 2006.

The Missouri S&T developed a new tool set for diagnostics and prognostics of mechanical and electronics components. A total of 25 journal papers and over 40 conference articles and 2 patents awarded to the investigators.  During the last year, the methods developed were being converted to a software tool with the help of an industry member National Instruments. This tool will be available for the users.

A total of 16 graduate students after obtaining hands on training went to work for member companies. Many of the methods developed as part of the research have been transferred to the members. A recent report by NSF stated that the Center has created a significant impact in working and transferring the technologies. The return of investment appears to be around $300 dollars for ever dollar invested.. 


Last Modified: 10/17/2013
Modified by: Jagannathan Sarangapani

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