Digital Twin - Corrosion Prediction and Digital Advisory System

Digital Twin - Corrosion Prediction and Digital Advisory System

Corrosion – it is a slow poison to plant equipment and pipelines. Its effects are often only apparent when the system has already sufficiently corroded, and destruction is either about to take place or already occurred.

Yokogawa Electric Corporation (here after will be referred as Yokogawa) and KBC (a Yokogawa company) developed a solution to this problem. Predict corrosion and inform plant people in advance so that operators can take corrective actions to avoid the disaster.

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Digital Asset Management

Digital Asset Management

Perhaps the most common application of machine learning in the process industries is to support predictive maintenance. Anomaly detection is widely used to identify equipment performance degradation much earlier than using traditional condition monitoring systems and data analytics. However, the use of artificial intelligence to improve reliability and reduce maintenance costs is still in its infancy.

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