Predictive maintenance is gaining traction in packaging and processing. Jamie Barber, Director of Product Development at Schneider Packaging, recently used the PACK EXPO International Innovation Stage to discuss how Schneider applies predictive maintenance in case packers and robotic palletizers. This approach leverages data collection and analysis to predict equipment failures, allowing for timely maintenance and minimizing unplanned downtime.
Case packers and robotic palletizers involve complex systems, including vacuum and pneumatic systems, servo and variable-frequency drives (VFDs), and robotic arms. Predictive maintenance can identify potential failure points within these systems by monitoring airflow, pressure, torque, and temperature. This proactive approach prevents catastrophic failures and optimizes maintenance schedules, extending equipment lifespan and enhancing overall productivity.
