CONDITION-BASED MAINTENANCE
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Operational Excellence
By using time series data effectively, condition-based maintenance is within reach for immediate impact to reliability while reducing operating costs.
Benefit by increased uptime; detecting incipient failures while reducing routine maintenance activities. Avoid unnecessary shut-downs due to false alarms.
CREATED BY NUCLEAR SCIENTISTS TO ANALYZE PHYSICAL SYSTEMS
All 93 North American commercial nuclear reactors and most of the commercial reactors worldwide (>450) use ARP for prognostic analytics. They have been in product use for more than 20 years saving countless power plant shut-downs because of a failed sensor or one that has drifted out of calibration. If fact, the NRC outlawed the use of Neural Networks for monitoring these plants because of the lack of root-cause analysis because of the stochastic shifting weights and hyper parameters in their models.
DELIVERING SOME OF THE HIGHEST SLAs IN THE INDUSTRY
Oracle, the first enterprise software company to use ARP in their widely used servers, which have more than 5,000 sensors each for predictive maintenance.
AVOIDING INFLIGHT SHUTDOWNS
Major airlines use APR for predictive maintenance of jet engines in real time. This has avoided multiple IFS (In Flight Shutdowns) and saving organizations millions of dollars every year with reduced maintenance activities and out-of-service aircraft.