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Asset Health Monitoring for Predictive Maintenance

Predictive maintenance is the process of monitoring in-service asset health and using the data to determine when preventive maintenance should be performed. This approach promotes cost savings over routine or time-based scheduling; maintenance tasks can be performed on an as-needed basis while still minimizing the risk of unplanned outages.

Curtiss-Wright has more than 35 years of experience providing innovative products and technologies for the global power industry. Our FAMOS suite of integrated solutions analyze and optimize plant performance to improve equipment reliability and reduce downtime. Using condition monitoring technology, plants can leverage vasts amount of data for early detection of issues or anomalies and optimal maintenance scheduling.

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