参考文献/References:
[1] VENKATASUBRAMANIAN V,RENGASWAMY R,KAVURI S N,et al.A review of process fault detection and diagnosis: Part Ⅲ: Process history based methods[J].Computers and Chemical Engineering,2003,27(3):327-346.
[2] VAN DER MAATEN L J P,POSTMA E O,VAN DEN HERIK H J.Dimensionality reduction: A comparative review[J].Computer and Information Science,2008,71(1):2596-2603.
[3] SHAO Ji-dong,RONG Gang.Nonlinear process monitoring based on maximum variance unfolding projections[J].Expert Systems with Applications,2009,36(8):11332-11340.
[4] ZHANG Mu-guang,GE Zhi-qiang,SONG Zhi-huan,et al.Global-local structure analysis model and its application for fault detection and identification[J].Industrial & Engineering Chemistry Research,2011,50(11):6837-6848.
[5] WONG W K,ZHAO H T.Supervised optimal locality preserving projection[J].Pattern Recognition,2012,45(1):186-197.
[6] 张妮,田学民.基于等距离映射的非线性动态故障检测方法[J].上海交通大学学报:自然科学版,2011,45(8):1202-1206.
[7] TENENBAUM J B,DE SILVA V,LANDFORD J C.A global geometric framework of nonlinear dimensionality reduction[J].Science,2000,290(5500):2319-2323.
[8] BELKIN M,NIYOGI P,SINDHWANI V.Manifold regularization: A geometric framework for learning from labeled and unlabeled examples[J].Journal of Machine Learning Research,2006,7:2399-2434.
[9] KU W,STORER R H,GERGAKIS C.Disturbance detection and isolation by dynamic principal component analysis[J].Chemometrics and Intelligent Laboratory Systems,1995,30(1):179-196.
[10] DOWNS J J,VOGEL E F.A plant-wide industrial process control problem[J].Computers and Chemical Engineering,1993,17(3):245-255.