Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Hassen, Keskes"'
Publikováno v:
Engineering Applications of Artificial Intelligence. 71:210-215
Nowadays, multiclass classification is considered as the leading technique on the issue of condition monitoring in induction motor which can be performed accurately and efficiently by support vectors machines. The standard multiclass SVM (MSVM) appro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9eff9920d32b9a4d7199c43e3f42a54
https://doi.org/10.1016/j.engappai.2018.02.019
https://doi.org/10.1016/j.engappai.2018.02.019
Autor:
Hassen Keskes, Ahmed Braham
Publikováno v:
IEEE Transactions on Industrial Informatics. 11:1059-1066
This paper is focused on the design of a new approach dedicated to solve classification problems for the detection of broken rotor bar (BRB) fault in induction motors (IM). This new method finds its origins in a novel combination of both recursive un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f183187dfa861fbdbf18a8343ebb48f7
https://doi.org/10.1109/tii.2015.2462315
https://doi.org/10.1109/tii.2015.2462315
Publikováno v:
Electric Power Systems Research. 97:151-157
This paper presents the establishing of intelligent system for broken-rotor-bar (BRB) diagnosis based on a novel combination of both, stationary wavelet packet transform (SWPT) and multiclass wavelet support vector machines (MWSVM). The SWPT is used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d88add9c6205d3762065e6537e0ef7c
https://doi.org/10.1016/j.epsr.2012.12.013
https://doi.org/10.1016/j.epsr.2012.12.013
Autor:
Ahmed Braham, Hassen Keskes
Publikováno v:
Scopus-Elsevier
This paper presents the establishing of intelligent system for broken-rotor-bar (BRB) diagnosis based on a novel combination of both, pitch synchronous wavelet transform (PSWT) and multiclass wavelet support vector machines (MWSVM). Most often, broke
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7414ac609088d4e63db5e7b3630e00ea
https://doi.org/10.1049/cp.2014.0321
https://doi.org/10.1049/cp.2014.0321
Publikováno v:
IECON
This paper proposes an original combination of Stationary Wavelet Packet Transform (SWPT) and Multiclass Wavelet Support Vector Machines (MWSVM) to detect broken rotor bar (BRB) in induction motor (IM). The SWPT is used for feature extraction under l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1877fc144d87de6ee49c769b01c90d53
https://doi.org/10.1109/iecon.2012.6389266
https://doi.org/10.1109/iecon.2012.6389266
Publikováno v:
2012 First International Conference on Renewable Energies and Vehicular Technology.
In induction motors (IM), broken rotor bars (BRB) create abnormal amplitude of the sidebands around the fundamental supply frequency. Several monitoring techniques developed for non stationary signal are essentially based on Wavelet Transform (WT). I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3c9dde78668f622d27c765fb0360314
https://doi.org/10.1109/revet.2012.6195312
https://doi.org/10.1109/revet.2012.6195312
Publikováno v:
4th International Conference on Power Engineering, Energy & Electrical Drives; 2013, p896-901, 6p
Publikováno v:
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9d3d0da01a71c7f54b3f22d3585f759f
http://www.scopus.com/inward/record.url?eid=2-s2.0-79956194388&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-79956194388&partnerID=MN8TOARS
