| [1] | 司风琪，周建新，仇晓智，等． 独立成分分析方法在电站热力过程数据检验中的应用[J]． 中国电机工程学报， 2008，28(26)：77-81． Si Fengqi，Zhou Jianxin，Qiu Xiaozhi，et al．Application of independent component analysis on the data validation of thermodynamic system in power plant[J]．Proceedings of the CSEE，2008，28(26)
|
| [2] | 黄孝彬，牛玉广，刘吉臻，等． 基于模糊动态模型的传感器故障诊断方法[J]． 中国电机工程学报， 2003，23(3)：183-187． Huang Xiaobin，Niu Yuguang，Liu Jizhen，et al．Fault diagnosis for sensors baesd on fuzzy dynamical model[J]．Proceedings of the CSEE，2003，23(3)
|
| [3] | 司风琪． 电站性能在线监测中的数据检验和热力系统模型研究[D]． 南京：东南大学， 2001．Si Fengqi．Study on data validation and thermodynamic system model of the online performance monitoring in power plant[D]．Nanjing：SoutheastUniversity，2001(in Chinese)．
|
| [4] | Ching H L，Russell E L，Braatz R D． Fault detection and diagnosis in industrial systems[M]． London：Springer Verlag Press， 2001：989-1100．
|
| [5] | Jiang Bin，Staroswiecki M，Cocquempot V． Robust observer based fault diagnosis for a class of nonlinear systems with uncertainty[C]//Proceedings of the IEEE Conference on Decision and Control，Orlando，FL，2001：161-166．
|
| [6] | Jiang Bin，Staroswiecki M． Fault diagnosis for nonlinear uncertain systems using robust/sliding mode observers[J]． Control and Intelligent Systems， 2005，33(3)：151-157．
|
| [7] | 邱凤翔，司风琪，徐治皋． 电站关联规则的主元分析挖掘方法及传感器故障检测[J]． 中国电机工程学报， 2009，29(5)：97-102． Qiu Fengxiang，Si Fengqi，Xu Zhigao．Association rules mining based on principal component analysis and sensor fault detection of power plant[J]．Proceedings of the CSEE，2009，29(5)
|
| [8] | 鲍文，于达仁，王伟，等． 基于关联规则的火电厂传感器故障检测[J]． 中国电机工程学报， 2003，23(12)：70-74． Bao Wen，Yu Daren，Wang Wei，et al．Sensor fault detection in thermal power plants based on association rule[J]．Proceedings of the CSEE，2003，23(12)
|
| [9] | 王惠文，吴载斌，孟洁． 偏最小二乘回归的线性与非线性方法[M]． 北京：国防工业出版社， 2006：191-215． Wang Huiwen，Wu Zaibin，Meng Jie．Partial least-squares regression-linear and nonlinear methods[M]．Beijing：NationalDefense Industry Press，2006
|
| [10] | 蒲前超，夏继红，韩玉玲，等． 基于偏最小二乘回归法的河流病因诊断[J]． 河海大学学报：自然科学版， 2009，37(1)：27-31． Pu Qianchao，Xia Jihong，Han Yuling，et al．Reason diagnosis of riverhealth based on partial least squares regression[J]．Journal of Hehai University
|
| [11] | 李春富，王桂增，叶昊． 正交信号修正法及其在软测量中的应用[J]． 信息与控制， 2004，33(4)：500-507． Li Chunfu，Wang Guizeng，Ye Hao．Orthogonal signal correction and its application to soft sensing[J]．Information and Control，2004，33(4)
|
| [12] | Gunther J C，Conner J S，Seborg D E． Process monitoring and quality variable prediction utilizing PLS in industrial fed-batch cell culture[J]． Journal of Process Control， 2009，19(5)：914-921．
|
| [13] | Choi S W，Lee I B． Multiblock PLS-based localized process diagnosis[J]． Journal of Process Control， 2005，15(3)：295-306．
|
| [14] | Wold S，Sjostrom M，Eriksson L． PLS-regression：a basic tool of chemometrics[J]． Chemometrics and Intelligent Laboratory Systems， 2001，58(2)：109-130．
|
| [15] | 吴盈，司风琪，徐治皋． 基于样条变换偏鲁棒M-回归的电站热力过程数据检验[J]． 中国电机工程学报， 2011，31(8)：114-118． Wu Ying，Si Fengqi，Xu Zhigao．Data validation of thermodynamic system in power plant based on the partial robust M-regression of Splines[J]．Proceedings of the CSEE．2011，31(8)
|
| [16] | Lakshminarayanan S，Shah S L． Nandakumar K． Modeling and control of multivariable processes：dynamic PLS approach[J]．American Institute of Chemical Engineers Journal， 1997，43(9)：2307-2322．
|
| [17] | 白裔峰． 偏最小二乘算法及其在基于结构风险最小化的机器学习中的应用[D]． 成都：西南交通大学， 2007．Bai Yifeng．PLS algorithm and its applications to SRM-Based machine learning[D]．Chengdu：SouthwestJiaotong University，2007(in Chinese)．
|
| [18] | Hellend K，Berntsen H E，Borgen O S，et al． Recursive algorithm for partial least squares regression[J]． Chemometrics Intelligence Laboratory System， 1992，14(1)：129-137．
|
| [19] | Qin S J． Recursive PLS algorithms for adaptive data modeling[J]． Computers and Chemical Engineering， 1998，22(4/5)：503-514．
|
| [20] | 成忠． PLSR用于化学化工建模的几个关键问题的研究[D]． 杭州：浙江大学， 2005．Cheng Zhong．Research on several key technologies of partial least squares regression in chemistry and chemical process modeling[D]．Hangzhou：ZhejiangUniversity，2005(in Chinese)．
|
| [21] | 常玉清，袁勇，王福利． 改进块式递推偏最小二乘建模方法及应用[J]． 控制与决策， 2009，24(8)：1243-1246． Chang Yuqing，Yuan Yong，Wang Fuli．Improved block-wise recursive partial least square modeling method and its application[J]．Control and Decision，2009，24(8)
|
| [22] | 汪小勇，梁军，刘育明，等． 基于递推PLS的自适应软测量模型及其应用[J]． 浙江大学学报：工学版， 2005，37(5)：676-680． Wang Xiaoyong，Liang Jun，Liu Yuming，et al．Recursive PLS based adaptive soft-sensor model and its application[J]．Journal of Zhejiang University
|
