Advanced Data Analytics for Predictive Maintenance of Carbon Black Manufacturing Plant

Invasystems’ SVP, Ashok Dixit, PhD describes how historical process data such as temperature, flow, and pressure for heat exchangers are used to train the data analytics model to predict leakages and plugging. The generated data analytics models are evaluated using additional historical data and are subsequently connected to PI AF for real-time predictions.
ProcDNA applies the model to current process data and provides a continuous prediction of process indicators for heat exchanger leakage and plugging. The measured and predicted results are presented thru PI Vision.

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