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Fault diagnosis approach based on relative transformation ICA of multiblock[J]. Control and decision, 2018, 33(11): 2009–2014. [15] GE Zhiqiang, SONG Zhihuan. Distributed PCA model for plant-wide process monitoring[J]. Industrial & engineer￾ing chemistry research, 2013, 52(5): 1947–1957. [16] JIANG Qingchao, YAN Xuefeng. Plant-wide process monitoring based on mutual information–multiblock prin￾cipal component analysis[J]. ISA transactions, 2014, 53(5): 1516–1527. [17] HUANG Junping, YAN Xuefeng. Quality relevant and in￾dependent two block monitoring based on mutual inform￾ation and KPCA[J]. IEEE transactions on industrial elec￾tronics, 2017, 64(8): 6518–6527. [18] JIANG Qingchao, YAN Xuefeng. Nonlinear plant-wide process monitoring using MI-spectral clustering and Bayesian inference-based multiblock KPCA[J]. Journal of process control, 2015, 32: 38–50. [19] 童楚东, 史旭华. 基于互信息的 PCA 方法及其在过程 监测中的应用 [J]. 化工学报, 2015, 66(10): 4101–4106. TONG Chudong, SHI Xuhua. Mutual information based PCA algorithm with application in process monitoring[J]. CIESC journal, 2015, 66(10): 4101–4106. [20] 范雪莉, 冯海泓, 原猛. 基于互信息的主成分分析用于 声场景分类 [J]. 声学技术, 2013, 32(3): 222–227. FAN Xueli, FENG Haihong, YUAN Meng. Mutual in- [21] 第 4 期 郑静，等：基于互信息的多块 k 近邻故障监测及诊断 ·727·