Cutting edge solution for machine tool industry
16 October 2019 | Web Article Number: ME201916746
SKF and FANUC demonstrated an edge platform technology solution for automated anomaly detection of machine tool health at the recent EMO Hannover Fair, a global event for machine tools and metalworking.
“By using FANUC’s Industrial IoT Platform, FIELD system and SKF’s IMX condition monitoring technology as the basis, end-users will be able to predict spindle health using vibration, temperature, speed and process data. The results are integrated into the end-user’s existing FIELD system dashboards for a straightforward user experience,” SKF said in a statement.
According to Davide Giordana, Director, Machine Tool Industry at SKF, parameters and thresholds per machine are set and adjusted based on real, historical data, not just theoretical standards.
“Benchmarking real-time bearing performance, across several connected machines in the same factory setting, gives additional insights. Through SKF’s engineering expertise and knowledge of spindles, lubrication systems and sealing solutions, this can lead to improved spindle performance, increased uptime and optimized inventory management,” he said.
“The value of digitalisation and automation within manufacturing lies in the insights it creates for machine owners and operators. By giving end-users real-time insights into the performance of their spindles using bearing trend development and diagnostics, we can help them make better decisions about maintenance. Simply put, this enables higher and more reliable performance.”