SparkCognition's SparkPredict® uses sophisticated algorithms to prevent asset failures, reduce maintenance costs, and improve system efficiency. Next-generation AI-driven prognostics learn from sensor and control system data to better understand the future behavior of each asset. The algorithms then raise alerts for sub-optimal operations and identify impending failures long before they occur. Unlike traditional prognostics methods, SparkPredict enables truly predictive capabilities to deliver cost savings and operational efficiency improvements to machine operators. This not only provides more time for maintenance, but also allows for root cause analysis at an extremely granular level. SparkPredict was able to discover a never-before-seen manufacturing defect on a combustion turbine for a major utility. This defect would have caused catastrophic failure on the turbine if it had not been caught.
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- Improve Asset Production
Equip your operations with predictive AI analytics that protect assets and keep them online.
- Minimize Maintenance Costs
Drive labor efficiencies during downtime with insights that inform repairs.
- Future-Proof Your Operations
Retain the knowledge of your workforce with machine learning that codifies human expertise.
- Exceed Availability Targets
Predict more machine problems with less work and expand asset failure horizons.
- Streamline Work Orders
Take quick, informed repair actions with explainable failure indicators.
- Operate With Confidence
Maintain predictive accuracy with automatic model retraining that improves models over time.