Predictive Maintenance AI for Aerospace Manufacturing
Client: AeroTech Precision Systems
AI-powered predictive maintenance delivering 98% reduction in unplanned downtime for aerospace manufacturing.
SERVICES
THE CHALLENGE
What AeroTech Precision Systems was facing
AeroTech's $50M aerospace manufacturing facility faced unexpected equipment failures causing production delays, quality issues, and millions in lost contracts due to missed delivery deadlines on critical aerospace components.
“The predictive maintenance AI from AutomateNexus has revolutionized our operations. We now predict and prevent failures instead of reacting to them. Their military-grade reliability matches our aerospace standards perfectly.”
— Dr. Robert Chen, Director of Manufacturing Excellence, AeroTech Precision Systems
THE SOLUTION
How we solved it
We deployed an AI-powered predictive maintenance system using IoT sensors, vibration analysis, and machine learning to predict equipment failures 2-6 weeks in advance, enabling proactive maintenance scheduling.
TECHNOLOGY STACK
OUR APPROACH
IoT sensor integration
Predictive ML algorithms
Proactive maintenance scheduling
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