1. A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark tennessee eastman process;Yin,2012
2. Fundamentals of model-based diagnosis;de Kleer
3. Survey on data-driven industrial process monitoring and diagnosis;Qin,2012
4. A Survey of Preprocessing Methods Used for Analysis of Big Data Originated From Smart Grids
5. Fault-relevant principal component analysis (fpca) method for multivariate statistical modeling and process monitoring;Zhao,2014