Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Nasreddine Bouguila"'
Publikováno v:
IINTEC
Effective detection of faults in Biological processes is essential to observe the continuity of good functioning of the system under typical circumstances for ensuring safety. Therefore, the first objective of this paper is to develop a machine learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f76d1126f164f45f3d1170da8c5b93c
https://doi.org/10.1109/iintec48298.2019.9112139
https://doi.org/10.1109/iintec48298.2019.9112139
Publikováno v:
SSD
Kernel Principal Component Analysis (KPCA) is a noteworthy nonlinear extension of the most popular dimensionality reduction methods, Principal Component Analysis (PCA). It has been extensively used for process monitoring. The time varying property of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3770d38341676e5888cd65a5cb189f82
https://doi.org/10.1109/ssd.2018.8570630
https://doi.org/10.1109/ssd.2018.8570630
Publikováno v:
2017 18th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA).
Non-intrusive appliance load monitoring (NIALM) systems are essential to assess real-time energy consumption and provide accurate analysis of the area, device and use. By dividing the information obtained from the total consumption of electricity int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::beeb23a95ece8722a008c536b6081f9b
https://doi.org/10.1109/sta.2017.8314940
https://doi.org/10.1109/sta.2017.8314940
Publikováno v:
Electric Power Systems Research. 178:106037
This paper proposes a simple algorithm about non-intrusive appliance load monitoring (NIALM) method. The main objective is to analyze the overall power consumption of a given building and to identify the different operating appliances. This approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d52aa92a854b0e650605ee9834c13fda
https://doi.org/10.1016/j.epsr.2019.106037
https://doi.org/10.1016/j.epsr.2019.106037
Publikováno v:
International Journal of Control and Automation. 7:17-34
The methods of the fault diagnosis and degradations used in the different industrial sectors are various and consider the specifity of the materials forming their industrial processes. For some relatively simple processes, the relations between the c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3da65b900faa108e76056b54963aa7fa
https://doi.org/10.14257/ijca.2014.7.5.03
https://doi.org/10.14257/ijca.2014.7.5.03
Publikováno v:
Scopus-Elsevier
In this study, the authors focus on the state estimation of a non-linear system described by a Takagi–Sugeno multiple model submitted to unknown inputs and outputs. The proposed approach consists of a mathematical transformation which enables to co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57079b8e0da8f0997808c8f0f07ddb76
https://doi.org/10.1049/iet-spr.2012.0398
https://doi.org/10.1049/iet-spr.2012.0398
Publikováno v:
2017 International Conference on Control, Automation and Diagnosis (ICCAD).
This paper discusses the monitoring of dynamic process. In recent years, Kernel Principal component analysis (KPCA) has gained significant attention as a monitoring method of nonlinear systems. However, the fixed KPCA model limit its application for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ab6c99a57a23107e1c0dc80d416e865
https://doi.org/10.1109/cadiag.2017.8075663
https://doi.org/10.1109/cadiag.2017.8075663
Publikováno v:
2017 International Conference on Control, Automation and Diagnosis (ICCAD).
The problematic is to study the management of a hybrid energy system, depending on demand, dedicated to self-governing houses. Energy can be supplied by a photovoltaic panel, a wind turbine and a diesel generator and it can be stored in batteries. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60695829c87c3501ca2ede42d72aed84
https://doi.org/10.1109/cadiag.2017.8075697
https://doi.org/10.1109/cadiag.2017.8075697
Publikováno v:
SMC
This paper present a nonlinear system identification based kernel methods, such as regularization networks, support vector regression and kernel principal component analysis. In this case, black-box models are used in a particular space named reprodu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::caf5f607ee5689e7ac5e218e04531e49
https://doi.org/10.1109/smc.2016.7844302
https://doi.org/10.1109/smc.2016.7844302