Vermeer Corp., has formed a research partnership with Iowa State University to detect and predict wear and tear on rotating machinery.
Researchers in the first phase, which began in fall 2019, focused on developing a rotor balancing method capable of detecting and correcting an unbalance of a rotor-bearing system.
Now they will use what they learned in phase one and apply it to other types of machine faults with the hope of developing an automated, field-deployable tool for onboard machine health monitoring.
“The basic idea of this tool is to process and analyze, in almost real-time, sensor data collected from operating machines to provide transparency to machine health and achieve near-zero breakdown performance,” said Chao Hu, assistant professor of mechanical engineering.
Steve Daining, a senior project engineer for Vermeer, leads the collaboration with ISU.
“There is an expectation from our customers that data should equip them to operate more productively and maintain their machines more reliably,” Daining said. “Our goal was to make a proof of concept that demonstrated that data could protect rotating working tools at the core of many Vermeer machines.”
The next step will be for the ISU researchers to assist the Vermeer team in validating and implementing the machine health monitoring tool on some of the Vermeer machines.