Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods

Algorithms for intelligent fault diagnosis of automated operations offer significant benefits to the manufacturing and process industries. Furthermore, machine learning methods enable such monitoring systems to handle nonlinearities and large volu