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The cost of downtime and degraded production from abnormal events is a major cost in the process industry. Giving your operators additional warning of situations such as column flooding, valve failure or equipment fouling can dramatically reduce production losses. Traditional condition monitoring and fault detection models are time consuming and expensive to create and maintain. Here we present a simple, low-cost method based on process history which can be implemented by a trained engineer in a matter of hours.

C Process Modeller, PPCL’s real-time process monitoring software, provides faster, earlier detection of faults against a standard benchmark. This webinar introduces our unique and innovative Geometric Process Control (GPC) technology and demonstrates its application to a standard process benchmark for fault-detection techniques, the Tennessee Eastman process, looking at case studies from real process plants.

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PPCL Webinar: Batch Processing
17th and 18th April

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