5SVETNIK A T, LIAW V, CULBERSON C. QSAR modelling using random forest, an ensemble learning tool for regression and classification[J]. Journal of Chemical Information and Computer Sciences, 2003, 43 (3) : 947-958.
6RAICH A, CINAR A. Statistical process monitoring and disturbance diagnosis in multivariable continuous processes[J]. Aiche Journal, 1996, 42(4) :995-1009.
7VENKATSUBRAMANIAN V, RENGASWAMY R, YIN K, et al. A review of process fault detection and diagnosis Part I: quantitative model-based methods[J]. Computers and Chemical Engineering, 2003, 27(3):293-311.
8PALADE V, BOCANIALA C D, JAIN L C. Computational intelligence in fault diagnosis[M]. Berlin, Germany: Springer, 2006: 1-10.
9V, RENGASWAMY R, KAVURI S N. A review of process fault detection and diagnosis Part III: Process history based methods[J]. Computers and Chemical Engineering, 2003, 27(3):327-346.
10TZAFESTAS S G, DALIANIS P J. Fault diagnosis in complex systems using artificial neural networks[C]//Proceedings of the 3rd IEEE Conference on Control Applications. Washington, D. C. , USA:IEEE, 1994:877-882.