BHC3TM Reliability provides reliability engineers, maintenance managers, and executives with comprehensive monitoring across critical and non-critical assets, and enables proactive, AI-based predictive maintenance. BHC3 Reliability identifies anomalous behavior across systems and assets, provides prioritized alerts, recommends prescriptive actions, and enables collaboration through an integrated workflow. With BHC3 Reliability, enterprises can maximize uptime, reduce maintenance costs, and improve operational efficiency.



Reduce unplanned downtime, maximize asset availability, and increase safety

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BHC3 Reliability demo video



Demonstrated Benefits

🡓 20-50%
reduction in unplanned downtime
🡑 1-5%
increase in asset availability
🡓 15-25%
reduction in total maintenance costs


Next Generation AI-based Reliability

Issues

BHC3 Reliability Solution

Reactive, time-based, and expensive maintenance programs

AI-based asset risk predictions provide continuous visibility into overall asset health

Too many false alerts generated by rules-based systems

Early warnings for assets at risk are prioritized using machine learning and codified domain expertise

Difficult to track asset risks across thousands of systems and sensors

AI approach is scalable across complex assets, fleets, and systems

Operational knowledge siloed within an aging workforce

Automatic failure mode identification to prescribe mitigation steps and feedback loops augmented by AI

Disparate and unconnected reliability systems

Closed-loop workflow for all asset, maintenance, and operational systems



Benefits for BHC3 Reliability Users

Benefits for BHC3 Reliability Users

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