周路生,王立仁,刘一舟,陈君荣.AP1000核电厂主泵法兰螺栓在役检查系统开发[J].核动力工程,2022(04).

李其烨,邢红杰.基于最大相关熵的KPCA异常检测方法[J].计算机科学,2022(08).

侯修群,蒋庆磊,包彬彬,苗碧琪,李元姣,张梦阳.基于相关系数的核电主泵振动异常定位方法研究[J].核科学与工程,2021(05).

陈甲华,邹树梁.基于噪声信号分析和HMM-SVM混合模型的乏燃料剪切机故障诊断研究[J].核科学与工程,2018(05).

李晗,萧德云.基于数据驱动的故障诊断方法综述[J].控制与决策,2011(01).

Hoang-Phuong Nguyen,Jie Liu,Enrico Zio.A long-term prediction approach based on long short-term memory neural networks with automatic parameter optimization by Tree-structured Parzen Estimator and applied to time-series data of NPP steam generators[J].Applied Soft Computing Journal,2020.

Kim Cheolmin,Klabjan Diego.A Simple and Fast Algorithm for L1-norm Kernel PCA[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2019.

A. Messai,A. Mellit,I. Abdellani,A. Massi Pavan.On-line fault detection of a fuel rod temperature measurement sensor in a nuclear reactor core using ANNs[J].Progress in Nuclear Energy,2015.

Yingchao Xiao,Huangang Wang,Wenli Xu,Junwu Zhou.L1 norm based KPCA for novelty detection[J].Pattern Recognition,2013.

Baidya Nath Saha,Nilanjan Ray,Hong Zhang 0013.Snake Validation: A PCA-Based Outlier Detection Method.[J].IEEE Signal Process. Lett.,2009.

Jong-Min Lee,ChangKyoo Yoo,Sang Wook Choi,Peter A. Vanrolleghem,In-Beum Lee.Nonlinear process monitoring using kernel principal component analysis[J].Chemical Engineering Science,2003.

Bernhard Sch&ouml,lkopf,Alexander Smola,Klaus-Robert M&uuml,ller.Nonlinear Component Analysis as a Kernel Eigenvalue Problem[J].Neural Computation,1998(5).

de Jong Sijmen.SIMPLS: An alternative approach to partial least squares regression[J].Chemometrics and Intelligent Laboratory Systems,1993(3).

Information Theoretic Learning[J].2010.