This course will teach you about the mainstream univariate and multivariate statistical techniques that have proven useful over the years for health monitoring of complex process plants. You will put the concepts learnt into practice using process industry-relevant datasets. Modern industrial plants are complex and therefore, it is a no-brainer that plant monitoring is an essential activity. Without exaggeration, it can be said that 24X7 monitoring of process performance and plant equipment health status, and forecast of impending failures are no longer a ‘nice to have’ but an absolute necessity! This course will equip you with the tools necessary to develop process monitoring solutions that includes both the fault detection (is the process or a signal behaving abnormally?) and fault diagnosis (which variables are behaving abnormally) components.
The course can be accessed at Udemy here. [GitHub Repository]