Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Zhengdao Zhang"'
Publikováno v:
IEEE Access, Vol 6, Pp 73423-73433 (2018)
False data injection (FDI) attack is the most common data integrity attack, and it is also one of the most serious threats in industrial control systems (ICSs). Although many detection approaches are developed with burgeoning research interests, the
Externí odkaz:
https://doaj.org/article/061925965d1b4264ac06216ee1f0b145
Publikováno v:
Journal of the Franklin Institute. 358:4058-4076
Although data integrity attack detections are critical to cyber-physical systems (CPSs), replay attack detection in industrial CPSs, especially data-based detection methods against replay attacks, has not been well-studied. Because it is difficult to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::983c35994728a943902d343f5b93fee7
https://doi.org/10.1016/j.jfranklin.2021.02.024
https://doi.org/10.1016/j.jfranklin.2021.02.024
Autor:
Zhengdao, Zhang, Shousong, Hu
Publikováno v:
In Journal of the Franklin Institute 2008 345(2):136-153
Publikováno v:
IFAC-PapersOnLine. 51:239-244
Based on a dynamic Bayesian network with an incomplete time slice and a mixture of the Gaussian outputs, a data-driven fault prognosis method for model-unknown processes is proposed in this article. First, according to the requirement of fault progno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1d1b2524230b963bb86b0f9bd9e1029
https://doi.org/10.1016/j.ifacol.2018.09.306
https://doi.org/10.1016/j.ifacol.2018.09.306
Publikováno v:
2018 37th Chinese Control Conference (CCC).
With a massive influx of cyber threats to SCADA systems, the cybersecurity of critical infrastructures has become one of the most addressed issues. It is impossible to conduct cybersecurity research through injecting attacks into real SCADA system. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3d8400730ca7e45bfbccf4ab36b42f3
https://doi.org/10.23919/chicc.2018.8483203
https://doi.org/10.23919/chicc.2018.8483203
Publikováno v:
IFAC-PapersOnLine. 48:1294-1299
A recursive probabilistic principal component analysis (PPCA) based data-driven fault identification method is proposed to handle the missing data samples and the mode transition in multi-mode process. This model is recursively obtained by using the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd86c68c59e674eb4e17df89d0ecefd6
https://doi.org/10.1016/j.ifacol.2015.09.147
https://doi.org/10.1016/j.ifacol.2015.09.147
Publikováno v:
Laser & Optoelectronics Progress. 56:161012
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::297e1c47bdf34264aaa2580cdb6b75f3
https://doi.org/10.3788/lop56.161012
https://doi.org/10.3788/lop56.161012
Publikováno v:
Journal of Systems Engineering and Electronics. 24:500-511
For the fault detection and diagnosis problem in large-scale industrial systems, there are two important issues: the missing data samples and the non-Gaussian property of the data. How-ever, most of the existing data-driven methods cannot be able to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c493bed8c5288a60f96cbf5049149f92
https://doi.org/10.1109/jsee.2013.00058
https://doi.org/10.1109/jsee.2013.00058
Publikováno v:
2016 12th World Congress on Intelligent Control and Automation (WCICA).
Recently probabilistic principal component analysis (PPCA) has been used for process monitoring and fault diagnosis, which can model the process noise and can handle the problem of missing data in the probabilistic framework. Nevertheless, the missin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4821fe7d511ce559ccbbcd6c59d2f300
https://doi.org/10.1109/wcica.2016.7578510
https://doi.org/10.1109/wcica.2016.7578510