Constant uptime with
real-time monitoring
of equipment
and processes

BISTel’s third core capability lets manufacturers predict outcomes before they occur. AI based predictive applications that leverage deep machine learning algorithms and embedded human knowledge enable equipment and processes to make more complex decisions, real-time.

For instance, BISTel’s new equipment Health Monitoring & Predictive maintenance (HMP) solution combines real-time, issue detection, advanced analysis of real-time data against historical trends and patterns to determine the condition of the equipment coupled with new predictive capabilities that let customers accurately predict the health of their equipment or mission critical components at any point in time. This innovative new application also predicts the Remaining Useful Life (RUL) of equipment, making downtime a thing of the past.

Accurately predict the remaining useful life of mission critical components
Market leading detection capabilities include:

Can I quickly predict the remaining useful life of mission critical components?

How do I monitor the performance of my equipment and processes real-time?

I need to know the quality level of every wafer not just an estimate based on metrology testing?

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