SKF IMx-1 system detected increased levels of vibration on the fan bearing at a steel manufacturing facility. Vibration analysis from SKF identified looseness in the bearing. The bearing was inspected and replaced during a scheduled outage.
Collaboration between the facility and SKF helped avoid significant unplanned
downtime and costly repairs.
SKF IMx-1 system alerted vibration analysts at SKF’s Rotating Equipment
Performance Center of increased vibration on the pump drive end bearing.
A bearing fault and lubrication issues were identified on the bearing. The pump was replaced which resulted in an immediate reduction in vibration.
A large specialty paper mill conducts monthly walk-around data collection to monitor its machine drives and other equipment. While this scheduled maintenance routine catches many issues, what about the potential for failure in between?
The paper mill installed the SKF Axios wireless predictive maintenance solution on several of its paper machine drives. Within a month, the system sent three alerts showing an anomaly on a motor. A secondary check with an SKF Microlog found the motor had electrical rotor bar issues.
Thanks to alerts from SKF Axios, the on-site vibration team was able to conduct a deeper dive and recommend replacement of the motor due to worn and loose rotor bars. As a result, SKF Axios helped the mill save $60,000 in unplanned downtime and lost production.
As part of a recent pilot, SKF Axios – a wireless predictive maintenance solution — was installed in our Flowery Branch manufacturing facility in Georgia. Our technicians found the solution easy to install and use, and soon the list of equipment being monitored grew.
Within one week of installing SKF Axios, the system sent an alert indicating an anomaly on a wheel spindle in the grinding process. Upon inspection, the maintenance team found the dresser was hitting hard on the wheel due to an incorrect gap setting. Because this facility installed SKF Axios, the window for fault detection was reduced from days to hours, allowing the maintenance team to correct the problem in time to avoid significant damage to the wheel, thereby eliminating unplanned downtime and replacement costs. Estimated cost avoidance totaled over $17,000.