[1] |
Bingbin GU, Weili XIONG.
Fault diagnosis based on PCA method with multi-block information extraction
[J]. CIESC Journal, 2019, 70(2): 736-749.
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[2] |
CUI Xiaohui, YANG Jian, SHI Hongbo.
Quality-related process monitoring approach based on semi-supervised orthogonal factor analysis
[J]. CIESC Journal, 2018, 69(12): 5130-5138.
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[3] |
LI Zheng, WANG Pu, GAO Xuejin, QI Yongsheng, CHANG Peng.
Information increment matrix based quality prediction for multi-phase batch processes
[J]. CIESC Journal, 2018, 69(12): 5164-5172.
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[4] |
LIU Shurui, PENG Hui, LI Shuai, ZHOU Xiaofeng.
Fault detection based on IJB-PCA-ICA
[J]. CIESC Journal, 2018, 69(12): 5146-5154.
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[5] |
LIU Xuting, LI Yiguo, SUN Shuanzhu, LIU Xichui, SHEN Jiong.
Fault diagnosis of chillers using sparsely local embedding deep convolutional neural network
[J]. CIESC Journal, 2018, 69(12): 5155-5163.
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[6] |
GU Xiaohua, ZHANG Kun, WANG Tian, HOU Song, SONG Hongfei, LI Taifu, QIU Kui.
Fault monitoring of high-sulfur gas sweetening process by combined indicator of CW-HCA
[J]. CIESC Journal, 2018, 69(10): 4292-4301.
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[7] |
LUO Lin, YANG Bo, LI Hongguang.
A dynamic multi-attribute decision making approach to industrial process control performance evaluations
[J]. CIESC Journal, 2018, 69(S1): 87-94.
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[8] |
GENG Xuemei, LI Hongguang.
An adaptive optimization approach to process alarm thresholds concerning human factors
[J]. CIESC Journal, 2018, 69(S1): 95-101.
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[9] |
GAO Xuejin, HUANG Mengdan, QI Yongsheng, WANG Pu.
Batch process monitoring using multiphase AR-PCA optimized with PDPSO
[J]. CIESC Journal, 2018, 69(9): 3914-3923.
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[10] |
DONG Shun, LI Yiguo, SUN Shuanzhu, LIU Xichui, SHEN Jiong.
Fault detection method based on state space-PCANet
[J]. CIESC Journal, 2018, 69(8): 3528-3536.
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[11] |
FENG Liwei, ZHANG Cheng, LI Yuan, XIE Yanhong.
DLNS-PCA-based fault detection for multimode batch process
[J]. CIESC Journal, 2018, 69(7): 3159-3166.
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[12] |
DENG Xiaogang, DENG Jiawei, CAO Yuping, WANG Lei.
Double-level local KPCA method for incipient fault detection in nonlinear process
[J]. CIESC Journal, 2018, 69(7): 3092-3100.
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[13] |
QIU Yu, LIU Yiqi, WU Jing, HUANG Daoping.
A self-adaptive multi-output soft sensor modeling based on deep neural network
[J]. CIESC Journal, 2018, 69(7): 3101-3113.
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[14] |
MA Jian, DENG Xiaogang, WANG Lei.
Industrial process soft sensor method based on deep learning ensemble support vector machine
[J]. CIESC Journal, 2018, 69(3): 1121-1128.
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[15] |
ZHAO Shuai, SONG Bing, SHI Hongbo.
Quality-related fault detection based on weighted mutual information principal component analysis
[J]. CIESC Journal, 2018, 69(3): 962-973.
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