SymphonyAI
109 Case Studies
A SymphonyAI Case Study
James Farley Post Office faced the challenge of keeping critical mail-handling conveyors running reliably in a high-demand, 24/7 postal environment. To help prevent unexpected downtime and reduce maintenance costs, the organization worked with SymphonyAI to add vibration analysis equipment and training for its maintenance teams.
SymphonyAI’s predictive maintenance approach used triaxial vibration data collection, FFT, and demodulation monitoring to track a critical conveyor drive’s intermediate shaft condition over several months. The analysis detected a serious looseness/impacting problem early, allowed the team to monitor risk through peak season, and gave them time to order parts and schedule a gearbox replacement before catastrophic failure. As a result, James Farley Post Office avoided collateral damage and unplanned production loss, improving uptime and maintenance planning.
James Farley Post Office