Proficy CSense Demo 5: Detect Process Problems Early with Machine Learning | Velotic

See how Velotic’s Proficy CSense helps process engineers use machine learning and multivariate process fingerprints to monitor process health and detect abnormal operating conditions early. In this Proficy CSense demo, you'll learn how to: · Connect to historical process data from a Historian · Identify data representing normal, stable operating conditions · Create a multivariate process fingerprint using principal component analysis (PCA) · Establish thresholds for normal and abnormal process behavior · Detect when a process begins moving away from normal conditions · Identify which sensors or process variables are contributing to abnormal behavior · Develop and test process health analytics in CSense Architect · Deploy real-time monitoring and alerts with CSense Runtime Manager · Publish alerts and potential causes through OPC for use in SCADA and DCS systems Proficy CSense helps manufacturers establish a data-driven model of normal process behavior and continuously compare operations against it, enabling earlier detection of abnormal conditions and greater insight into potential causes. Whether you're exploring process health monitoring, anomaly detection, machine learning for manufacturing, or industrial analytics, this demo shows how Velotic’s Proficy CSense can help identify emerging process problems before they become more significant. Learn more about Velotic’s Proficy CSense: https://www.velotic.com/products/prof... #ProficyCSense #IndustrialAnalytics #MachineLearning #PredictiveQuality #Manufacturing #IndustrialAI #ProcessOptimization #Velotic