KPCA-Based Visual Fault Diagnosis for Nonlinear Industrial Process
In: Intelligent Robotics and Applications : 12th International Conference, ICIRA 2019, Shenyang, China, August 8–11, Jg. 11744 (2019), S. 145-154
Online
E-Book
Zugriff:
Titel: |
KPCA-Based Visual Fault Diagnosis for Nonlinear Industrial Process
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Autor/in / Beteiligte Person: | Yu, Jiahui ; Gao, Hongwei ; Ju, Zhaojie ; Goos, Gerhard, Founding Editor ; Hartmanis, Juris, Founding Editor ; Bertino, Elisa [Ed.]ial Board Member ; Gao, Wen [Ed.]ial Board Member ; Steffen, Bernhard [Ed.]ial Board Member ; Woeginger, Gerhard [Ed.]ial Board Member ; Yung, Moti [Ed.]ial Board Member ; Yu, Haibin [Ed.] ; Liu, Jinguo [Ed.] ; Liu, Lianqing [Ed.] ; Ju, Zhaojie [Ed.] ; Liu, Yuwang [Ed.] ; Zhou, Dalin [Ed.] |
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Zeitschrift: | Intelligent Robotics and Applications : 12th International Conference, ICIRA 2019, Shenyang, China, August 8–11, Jg. 11744 (2019), S. 145-154 |
Veröffentlichung: | 2019 |
Medientyp: | E-Book |
ISBN: | 978-3-030-27540-2 (print) ; 978-3-030-27541-9 (print) |
DOI: | 10.1007/978-3-030-27541-9_13 |
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