Researchers Unite to Search for Zero Breakdown Performance

“For years, maintenance has been treated as a dirty, boring and ad hoc job. It’s critical for productivity but isn’t yet recognized as a key component of revenue generation,” says UC’s Jay Lee, professor of engineering and director of the NSF Industry/University Cooperative Research Center on Intelligent Maintenance Systems (IMS) and an Ohio Eminent Scholar. “The simple question is often, ‘Why do we need to maintain things regularly?’ The answer is, ‘To keep things as reliable as possible.’ But the real question is, ‘How much change or degradation has occurred since the last round of maintenance?’ The answer is, ‘I don’t know.’”


Center for Intelligent Maintenance Systems

was established 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. The center focuses on frontier technologies in embedded and remote monitoring, prognostics technologies and intelligent decision-support tools.

“The challenge for reliability is dealing with data from the past. Failure is modeled, analyzed and — to some extent — predicted. Unfortunately, the prediction doesn’t take into account users or working environment-related constraints, and often the results aren’t that useful,” says Lee. “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. This is what we call the ‘fail-and-fix’ approach.”

Today, CBM focuses on sensors and communications. All products and machines are networked by some means. Lee says that it’s difficult to know, though, what to do with all these data.

“We need to turn data into information by using computational tools to process data locally,” he says. 

Get your own information about intelligent maintenance systems at the industry forum on May 16 with a focus on advanced prognostics and smart predictive maintenance benchmarking. Presenters include the University of Cincinnati, the University of Michigan, the University of Missouri-Rolla, GE Aviation, Caterpillar, Toyota, P&G, GM, Nissan, Omron and National Instruments.

Following the industry forum, the NSF IMS Center 13th Industry Advisory Board (IAB) meeting will be held at P&G in Cincinnati on May 17–18, 2007.
"The maintenance world of tomorrow is an information world for feature-based monitoring," says Lee. "Information should represent a trend, not just a status. It should offer priorities, not just show ‘how much.’ If we do that, then our productivity can be focused on asset-level utilization, not just production rates."

About the NSF Industry/University Cooperative Research Center on Intelligent Maintenance Systems (IMS)
IMS is a multi-campus NSF Industry/University Cooperative Research Center with a focus on advanced prognostics and predictive maintenance technologies to achieve zero-breakdown productivity. The Center consists of research sites at the University of Cincinnati, the University of Michigan and the University of Missouri-Rolla, as well as two international sites (Singapore and Brazil), in partnerships with over 40 global companies. 

Related Stories


Building potential

July 16, 2024

Unexpected advice led to a new area of interest and growth for Andrew Matthews, leading him to the University of Cincinnati’s College of Engineering and Applied Science, construction management and cooperative education experiences at Turner Construction.


UC study: Long-term stroke survival improving, but racial...

July 15, 2024

New research from the University of Cincinnati published in the journal Neurology found long-term survival rates following acute ischemic strokes are improving, but Black individuals experience worse long-term outcomes compared to white individuals.

Debug Query for this