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Proactive Monitoring Helps Food Processing Site Prevent Fan Failure and Avoid Up to $60,000 in Downtime Costs

Food and Beverage
WA, Australia

Early detection of rotor imbalance helped the team resolve product build-up before it caused equipment damage or extended production loss

In animal nutrition and food processing environments, even routine product build-up can become a serious maintenance issue when it affects rotating equipment.

At a Western Australian processing site, a cooler fan unit began showing abnormal vibration during routine operations. The asset was part of the production process, and continued operation under elevated vibration could have increased the risk of bearing, shaft, motor, or fan damage.

The site needed more than periodic inspection. It needed earlier visibility into changing asset behaviour so the maintenance team could respond before a routine cleaning issue became an unplanned downtime event.

A sudden shift in machine behaviour

During operation, MOVUS identified a sharp deviation in the fan’s normal behaviour. The alert was based on a sudden change in the AI condition indicator, elevated RMS values, and unusual acoustic tone patterns. The system flagged the issue as a likely imbalance fault, prompting an immediate response from the site maintenance manager and team lead.

The fan was shut down the same day so the team could investigate. On inspection, they found significant residual product build-up on the fan blades and inside the housing. The build-up had accumulated unevenly, creating rotor imbalance and driving the high vibration levels.

Without early detection, that imbalance could have continued to place stress on critical components. Over time, this may have led to bearing damage, shaft damage, motor issues, or extended unplanned downtime. This is where the value of the alert mattered. It gave the team enough warning to stop the asset before the fault became mechanical damage.

Acting the same day to prevent escalation

Following the alert, the maintenance team shut down and isolated the fan. They manually cleaned the blades and internal surfaces, then inspected the shaft and bearings for signs of damage.

After reassembly, vibration levels were measured again and confirmed to have returned to acceptable operating limits. The early alert and prompt response helped the site avoid further mechanical wear, potential component failure, and extended downtime.

The incident also created a practical learning moment for the site. Rather than treating the event as a one-off alarm, the team used the root cause to improve their maintenance approach. The build-up showed that cleaning frequency needed to better reflect real operating conditions and product type, not just a fixed schedule.

From fault response to process improvement

After the event, the site adjusted cleaning schedules to better align with operating conditions and the type of product being processed. They also began evaluating inspection ports to make future visual checks faster and more efficient without requiring full disassembly. Site teams also received updated training to reinforce the importance of early fault detection and prompt response to vibration alerts.

MOVUS helped the site identify the asset issue early, but it also helped reveal the process condition behind the fault. That insight allowed the team to prevent immediate damage and improve future maintenance practices.

Avoiding downtime and protecting critical components

The site estimated downtime costs at approximately $2,500 AUD per hour, based on lost product throughput, labour, utilities, emergency callout overheads, and avoided component damage.

The estimated cost avoidance from an unplanned downtime ranged from $5,000 for a minimum two-hour event to $60,000 for a potential 24-hour event. The likely scenario was estimated at eight hours, or $20,000 in avoided costs.

By catching the issue early, MOVUS helped the team:

Avoid up to 24 hours of unplanned downtime
Prevent damage to critical components
Save as much as $60,000 in potential losses
Improve cleaning schedules based on operating conditions
Reinforce faster response processes for future alerts

For food processing and animal nutrition operations, the outcome shows how early asset intelligence can do more than prevent a single failure. It can help teams understand why a fault is developing and improve the maintenance practices that stop it happening again.

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