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Downtime and degraded production from process disturbances are major costs to the process industry. How can we understand these events and implement the changes needed to reduce their impact? Can we provide operators with early warning of developing abnormal process conditions giving them the precious time needed to understand and respond to disturbances before they grow to threaten shutdown or lost production?

In this webinar from March 2020, we present simple visual methods for analyzing large historical datasets and producing real-time event prediction and fault detection models based on process history which can be implemented by the engineer without the need for advanced mathematics. Building models is fast and easy compared with traditional condition monitoring and fault detection frameworks.

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PPCL Webinar: Batch Processing
22nd and 23rd April

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