Case Study: a large baghouse company achieves 77% fan vibration reduction with AssetWatch AI-powered monitoring

A AssetWatch Case Study

Preview of the Large Baghouse Company Case Study

Preserving Air Quality and Elevating Performance at Baghouses

The Large Baghouse Company, a major steel mill, faced the challenge of maintaining critical baghouse performance to ensure air quality control and avoid catastrophic equipment failure, significant environmental releases, and regulatory fines. To address this, they partnered with AssetWatch and implemented its AI-powered continuous vibration monitoring service.

AssetWatch's AI detected early signs of rotating looseness in a baghouse fan, prompting an expert recommendation for maintenance. This proactive intervention identified excessive bearing wear and prevented an estimated 24 hours of unplanned downtime. AssetWatch's solution delivered a 77% reduction in vibration, extended asset life, and provided the customer with over $58,000 in immediate cost savings and an estimated $600,000 in savings over six months, yielding a significant return on investment.


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