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IBM, University Partner to R&D Predictive Maintenance Analytics Tech; Mark Easton Comments

IBM, University Partner to R&D Predictive Maintenance Analytics Tech; Mark Easton Comments - top government contractors - best government contracting event
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Big Data, AppsIBM has partnered with the University of South Carolina to develop analytics tools to help maintenance professionals detect when a piece of equipment is nearing failure, the Columbia Regional Business Report newspaper reported Thursday.

James Hammond writes the technology firm will also invest $2.4 million in business analytics software grants for the university’s condition-based maintenance technology development program.

Mark Easton, IBM vice president of software groups and solutions, told the newspaper that the company has spent $24 billion in predictive analytics to date.

Condition-based maintenance is a strategy for utilizing data gathered from sensors to predict if a machine’s performance will likely deteriorate, according to Hammond’s article.

Hammond reports that the U.S. Army has been working with a research team at USC’s College of Engineering and Computing to spot failing components on Chinook, Blackhawk and Apache helicopters through data analytics.

The IBM-USC partnership also aims to extend the application of predictive maintenance technology to other fields such as the energy and maritime areas, according to the newspaper.

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Written by Mary-Louise Hoffman

is a writer of news summaries about executive-level business activity in the government contracting sector. Her reports for ExecutiveBiz are focused on trends and events that drive the GovCon industry to include commercial technologies that private companies are developing for federal government use. She contributes news content to ExecutiveBiz’s sister sites GovCon Wire and ExecutiveGov.

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