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Quality, Reliability & Maintenance
  Center for Nondestructive Evaluation (CNDE)
  Center for Quality and Reliability Engineering (QRE)
  Center for Intelligent Maintenance Systems (IMS)
System Design and Simulation
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Center for Intelligent Maintenance Systems (IMS)
University of Wisconsin at Milwaukee (lead institution) and University of Michigan at Ann Arbor
A National Science Foundation Industry/University Cooperative Research Center since 2000

Intelligent maintenance systems enable products and systems to achieve near-zero-downtime and six-sigma performance in the 21st century

The IMS Vision
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Center Vision and Mission
The vision of the Center is to enable products and systems to sustain near-zero-downtime performance through the advancement of web-enabled predictive infotronics and tether-free technologies, including Smart Computational Prognostics Agents, Device-to-Business (D2B™) Platform, as well as self-maintenance design methodologies. Its mission is to serve as a center of excellence for the creation and dissemination of a systematic body of knowledge in intelligent e-maintenance systems and ultimately to impact next-generation product, manufacturing, and service systems with six-sigma quality. The Center plans to bring value to its members by validating high-impact emerging technologies as well as by harnessing business alliances through collaborative testbeds.

Watchdog Agent
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Research Program
The Center's core competencies fall into the following highly interdisciplinary categories:

  • Smart Computational Prognostics Agent (Watchdog Agent™)
    Embedded computational prognostics algorithms and toolbox for predicting the degradation or performance loss of devices and systems. Drawing from biological perceptual systems and machine psychology theory, a neural network-based "digital doctor" has been developed for machine degradation assessment and failure prognostics.
  • Web-enabled Device-to-Business (D2B™) Platform for Transformation, Prediction, Optimization & Synchronization
    System methodologies that enable (a) transformation of machine / product data into more useful formats, (b) optimization of maintenance and production / service scheduling, and (c) synchronization with other business systems, suppliers and customers. More specifically, projects under this thrust area involve the following: Multi-Media Maintenance Technologies (e.g., wearable computing systems, interactive voice response, smart portable service tools, etc.); Web-Based Maintenance Technologies for Remote Monitoring, Prognostics, and Diagnostics for distributed and collaborative maintenance; Reliability-Centered Maintenance; Degradation Modeling for Service Value Chain Optimization; Asset Management; Customer Relation Management; Knowledge Acquisition & Data Mining; and Cognitive Science & Decision Making.
  • Applied Wireless Systems and Development of Embedded Peer-to-Peer Networking Technology
    Focus on enabling technologies for remote monitoring, wireless communication tools, evaluation of wireless systems on production and service environments.
IMS D2B Platform
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Industrial Testbeds
The Center is collaborating with its member companies to validate and deploy the developed core technologies through testbeds.

Industrial Members and Sponsors
The Center's research projects are conducted through sponsored partnerships with industry and government. A list of current members and sponsor companies is shown.

Harley-Davidson ITRI Servo Robots
Johnson Controls Hitachi Seiki DP Technology
Rockwell Automation Eaton Genex Tech.
Toshiba GM Industrial Objects
U.S. Postal Services Rexnord Lantronix
Citation Custom Pr. Questra GlobalCyberSoft
Ford Motor API PMC
A.O. Smith ATOP Cognex
Xerox Dr. Machine.com National Instruments
Intel Eagle Technologies Siebel Systems
Wisconsin Electric Velicon Ltd.  
United Technologies Endeavors  
Kone Elevators Dualis  


Center Headquarters
Center for Intelligent Maintenance Systems
University of Wisconsin at Milwaukee
Homepage: www.imscenter.net
Tel (414) 229-3106 * Fax (414) 229-3107

Center Co-Director: Professor Jay Lee

Center Co-Director: Dr. Jun Ni
(734) 936-2918 * junni@umich.edu

NSF 01-168xx


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