The NormNet® PHM tool enables you to implement Condition Based Maintenance and other contemporary system maintenance strategies. It provides accurate reports describing how your system is operating and warns you of degrading conditions and future failures. You can scheduled corrective actions before you experience a service interruption or major failure.With the NormNet®tool, you increase your system availability, improve safety, reduce cost of operations and improve your bottom line.
The NormNet® tool is based on FTI’s patented Pattern Recognition of Health (PRoH®). It is data-derived technology that models normal system operations and predicts problems without requiring physical models or lists of failure modes. The NormNet® tool relies on data that is currently available; it does not need changes to your sensors, data sources or operational procedures. Using this data, the NormNet® tool creates models of normal operations that represent a healthy system. System abnormal behaviors and future problems are identified by detecting small variances from normal system behavior in the values of the data and in the relationships among them. Tht technology was designed for the dynamic environment of a fighter aircraft. It can process input from multiple sensors sampled in real-time while detecting variances from expected performance as small as 2%. The NormNet® tool identifies abnormal system behaviors and forecast future failures well in advance of current threshold-based or static diagnostic systems.
The NormNet® tool makes the logistics support teams function more effectively. Standards-based implementation, API’s and user configurable interfaces enable the NormNet® tool to interface with existing data collection, reporting and logistics systems. You do not require changes to in-place hardware or software systems. The technology interfaces readily with existing processes and operations. And as systems are enhanced or upgraded, NormNet® adapts to changes in configuration, use or mission.
With the NormNet®tool, your operations staff can
- Reduce unplanned outages through identification of potential problems early enough to permit a planned response and before they cause an unexpected system failure or catastrophic event.
- Improve system availability while reducing the cost of operations.
- Reduce maintenance activities by permitting them to take place based on actual equipment performance characteristics (condition-based maintenance) rather than on arbitrary elapsed time.
This product supports MySQL Enterprise Server.