Data-driven Fault Diagnosis Scheme for Complex Integrated Control Systems

Baoran An; Huai Wu; Shen Yin

doi:10.1109/WCICA.2018.8630563

Data-driven Fault Diagnosis Scheme for Complex Integrated Control Systems

Baoran An^*
, Huai Wu
, Shen Yin

^*Corresponding author for this work

School of Astronautics

China Academy of Engineering Physics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

From 13th national five-year to 15th five-year development period, the new generation of scientific facilities is under construction in China. Control systems are critical for the safety operation of novel scientific facilities. The traditional fault diagnosis technology based on analytical models is not applicable to complex process. In the paper, the data-driven fault diagnosis scheme under three complex conditions including nonlinear controlled process, non-Gaussian noise and incomplete information is analyzed in depth. Finally, the components and elements of simulation verification environment are given.

Original language	English
Title of host publication	Proceedings of the 2018 13th World Congress on Intelligent Control and Automation, WCICA 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1255-1258
Number of pages	4
ISBN (Electronic)	9781538673454
DOIs	https://doi.org/10.1109/WCICA.2018.8630563
State	Published - 2 Jul 2018
Event	13th World Congress on Intelligent Control and Automation, WCICA 2018 - Changsa, China Duration: 4 Jul 2018 → 8 Jul 2018

Publication series

Name	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
Volume	2018-July

Conference

Conference	13th World Congress on Intelligent Control and Automation, WCICA 2018
Country/Territory	China
City	Changsa
Period	4/07/18 → 8/07/18

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10.1109/WCICA.2018.8630563

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An, B., Wu, H., & Yin, S. (2018). Data-driven Fault Diagnosis Scheme for Complex Integrated Control Systems. In Proceedings of the 2018 13th World Congress on Intelligent Control and Automation, WCICA 2018 (pp. 1255-1258). Article 8630563 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); Vol. 2018-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCICA.2018.8630563

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title = "Data-driven Fault Diagnosis Scheme for Complex Integrated Control Systems",

abstract = "From 13th national five-year to 15th five-year development period, the new generation of scientific facilities is under construction in China. Control systems are critical for the safety operation of novel scientific facilities. The traditional fault diagnosis technology based on analytical models is not applicable to complex process. In the paper, the data-driven fault diagnosis scheme under three complex conditions including nonlinear controlled process, non-Gaussian noise and incomplete information is analyzed in depth. Finally, the components and elements of simulation verification environment are given.",

author = "Baoran An and Huai Wu and Shen Yin",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 13th World Congress on Intelligent Control and Automation, WCICA 2018 ; Conference date: 04-07-2018 Through 08-07-2018",

year = "2018",

month = jul,

day = "2",

doi = "10.1109/WCICA.2018.8630563",

language = "英语",

series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1255--1258",

booktitle = "Proceedings of the 2018 13th World Congress on Intelligent Control and Automation, WCICA 2018",

address = "美国",

}

An, B, Wu, H & Yin, S 2018, Data-driven Fault Diagnosis Scheme for Complex Integrated Control Systems. in Proceedings of the 2018 13th World Congress on Intelligent Control and Automation, WCICA 2018., 8630563, Proceedings of the World Congress on Intelligent Control and Automation (WCICA), vol. 2018-July, Institute of Electrical and Electronics Engineers Inc., pp. 1255-1258, 13th World Congress on Intelligent Control and Automation, WCICA 2018, Changsa, China, 4/07/18. https://doi.org/10.1109/WCICA.2018.8630563

Data-driven Fault Diagnosis Scheme for Complex Integrated Control Systems. / An, Baoran; Wu, Huai; Yin, Shen.
Proceedings of the 2018 13th World Congress on Intelligent Control and Automation, WCICA 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1255-1258 8630563 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); Vol. 2018-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - An, Baoran

AU - Wu, Huai

AU - Yin, Shen

PY - 2018/7/2

Y1 - 2018/7/2

N2 - From 13th national five-year to 15th five-year development period, the new generation of scientific facilities is under construction in China. Control systems are critical for the safety operation of novel scientific facilities. The traditional fault diagnosis technology based on analytical models is not applicable to complex process. In the paper, the data-driven fault diagnosis scheme under three complex conditions including nonlinear controlled process, non-Gaussian noise and incomplete information is analyzed in depth. Finally, the components and elements of simulation verification environment are given.

AB - From 13th national five-year to 15th five-year development period, the new generation of scientific facilities is under construction in China. Control systems are critical for the safety operation of novel scientific facilities. The traditional fault diagnosis technology based on analytical models is not applicable to complex process. In the paper, the data-driven fault diagnosis scheme under three complex conditions including nonlinear controlled process, non-Gaussian noise and incomplete information is analyzed in depth. Finally, the components and elements of simulation verification environment are given.

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T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

SP - 1255

EP - 1258

BT - Proceedings of the 2018 13th World Congress on Intelligent Control and Automation, WCICA 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 13th World Congress on Intelligent Control and Automation, WCICA 2018

Y2 - 4 July 2018 through 8 July 2018

ER -

An B, Wu H, Yin S. Data-driven Fault Diagnosis Scheme for Complex Integrated Control Systems. In Proceedings of the 2018 13th World Congress on Intelligent Control and Automation, WCICA 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1255-1258. 8630563. (Proceedings of the World Congress on Intelligent Control and Automation (WCICA)). doi: 10.1109/WCICA.2018.8630563

Data-driven Fault Diagnosis Scheme for Complex Integrated Control Systems

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