Data-Driven Fault Classification in Large-Scale Industrial Processes Using Reduced Number of Process Variables Abstract: In large-scale industrial processes, fault diagnosis is of paramount importance ...

Volumetric flow, flow velocity and temperature measurement – three of the most important variables which help to ensure efficient process control. So, wouldn’t it be convenient if you could measure ...

Classification of data originating from complex process and biological systems is challenging owing to the presence of multivariate and highly nonlinear interactions between variables. Patterns, ...

In large-scale industrial processes, fault diagnosis is of paramount importance, as faults jeopardize the stability and performance of processes. However, effective fault diagnosis becomes a ...