HUMS Data Integration for Preventive Maintenance

One of our customers implemented Empact's digital HUMS data integration tool to improve predictive maintenance and reduce unscheduled downtime.

Empact
Empact
3 min read
The Challenge

How can we turn complex HUMS data into actionable maintenance insights?

Modern aircraft and defense systems generate vast amounts of information through Health and Usage Monitoring Systems (HUMS). These analytics are key for preventive maintenance. However, isolating and analyzing the right data at the right time in order to use it effectively represented a core challenge for our customer.

The customer needed a solution that could consolidate and interpret HUMS data efficiently. The aim was to transform raw sensor information into clear, actionable maintenance tasks that fit directly into daily operations. This would help to reduce unplanned downtime, improve asset readiness, and make smarter decisions based on early indicators and trends.

 

 
The Solution

HUMS Data Integration & Analytics System

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Together with our customer, Empact developed a Windows-based system that integrates HUMS data with existing maintenance and analytics platforms. The tool processes large data sets, identifies developing issues, and automatically recommends preventive actions based on defined trends and thresholds.

By connecting directly to operational systems, the solution ensures that analytics do not remain isolated but actively support planning, scheduling, and execution of maintenance tasks. Moreover, it was important for us that the interface was designed to be intuitive for both engineers and maintainers, making complex data accessible, understandable, and usable in day-to-day sustainment work.

 

 

The Outcome

Smarter maintenance through predictive insight

The solution enabled the customer’s engineering and maintenance teams to take proactive action. By leveraging data insights, component failures could be prevented and asset life extend. Overall, maintenance planning became more accurate, downtime was reduced, and resources could be deployed more effectively.

By transforming HUMS data into a reliable decision-support capability, Empact helped the customer make a significant step toward true predictive maintenance readiness.

 

 

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Predictive Insights

for an early detection of maintenance needs

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Integrated Analytics

HUMS data merges directly into maintenance systems 

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Reduced Downtime

proactive planning prevents unexpected failures

 

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Operational Efficiency

with data-driven decisions streamlining sustainment work

 

The Customer

The customer has been anonymized due to confidentiality agreements

The customer empowers advanced manufacturing with a global reach, delivering complex products with precision and efficiency. As a solutions partner, Empact has implemented AMES to digitalize workflows, streamline production, and support operators across the factory floor.