Maximize Efficiency with Advanced Scrubber Motor Solutions

KCF Technologies’ SMARTdiagnostics predictive maintenance platform called out a developing fault on this Scrubber Motor. Based on a 1x increase in overall velocity, SMARTdiagnostics DeskAI flagged the fault as a sheave misalignment or belt tension issue and recommended that the plant inspect the belt tension/sheave alignment, as well as the fan bearings.

DETECTION: SMARTdiagnostics identified a developing sheave misalignment or belt tension issue on the Scrubber Motor, which was verified by a KCF vibration analyst and documented through the customer’s CMMS system.

ACTION: The customer inspected the asset, tightened the belt, and monitored the motor’s performance. When vibration levels rose again the next day, the team performed an additional adjustment, restoring the motor to stable operation.

IMPACT: With early detection and guided remediation, the team avoided unplanned downtime and saved approximately $4,885 in lost production costs.

Identifying a Machine Failure in the Making

A KCF Technologies’ SENTRYsolutions vibration analyst verified the callout as accurate, and the customer team was able to take action. With a clear call out of the problem and next steps for remediation, a work order was generated in the customer’s CMMS integrated with SMARTdiagnostics, including all the relevant information from SMARTdiagnostics.

The customer inspected the asset and tightened the belt. After the belt tightening, the overall velocity in SMARTdiagnostics returned to healthy levels; however, the next day it began to increase again. The team tightened the belt a bit more, which restored the asset to healthy operating conditions.

Without a predictive maintenance system in place, this team would not have seen this developing fault until failure or larger-scale damage had occurred. Using data and clear direction supplied by SMARTdiagnostics DeskAI, the team was able to monitor the health of the asset through the maintenance cycle to check if fixes were improving the overall health of the equipment, or just putting a band-aid on the issue. By catching this developing fault before unplanned downtime could occur, the team saved around an hour of downtime, saving them $4,885.

$4,885
in Customer Savings

1 Hour
of Downtime Saved

Scrubber Motor

Identifying a Machine Failure in the Making

$4,885

1 Hour

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