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...
Source: iastate.edu
