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Collaborating to Predict Machine Failure

Venkat Nemani, left, and assistant professor Chao Hu pose next to a test stand where initial vibration research was conducted. Grace Technologies has estimated that its new system could be worth up to $10 million to the company over a five-year period as equipment operators rush to save money on downtime, expensive repairs, and maintenance-related injuries. Drew Allen, Grace Technologies vice president for strategic innovation, said large organizations in high-value industries have long had predictive maintenance capabilities because they use expensive equipment to monitor rotary machines and detect vibration changes in bearings. Grace is one of many companies seeking to translate that technology to a broader market.

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