Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Ilyes Khelf"'
Publikováno v:
Mechanical Systems and Signal Processing. 193:110264
Autor:
Didier Rémond, Wajdi Dhifli, Nour El Islem Karabadji, Hassina Seridi, Sabeur Aridhi, Ilyes Khelf
Publikováno v:
Expert Systems with Applications
Expert Systems with Applications, 2019, 129, pp.84-96. ⟨10.1016/j.eswa.2019.03.052⟩
Expert Systems with Applications, Elsevier, 2019, 129, pp.84-96. ⟨10.1016/j.eswa.2019.03.052⟩
Expert Systems with Applications, 2019, 129, pp.84-96. ⟨10.1016/j.eswa.2019.03.052⟩
Expert Systems with Applications, Elsevier, 2019, 129, pp.84-96. ⟨10.1016/j.eswa.2019.03.052⟩
International audience; Decision trees are efficient means for building classification models due to the compressibility, simplicity and ease of interpretation of their results. However, during the construction phase of decision trees, the outputs ar
Publikováno v:
Mechanism and Machine Theory
Mechanism and Machine Theory, Elsevier, 2019, 136, pp.27-51. ⟨10.1016/j.mechmachtheory.2019.01.028⟩
Mechanism and Machine Theory, Elsevier, 2019, 136, pp.27-51. ⟨10.1016/j.mechmachtheory.2019.01.028⟩
This work has been developed within the framework of non-stationary rotating machinery surveillance with emphasis on the detection of rolling element bearing defects. The numerical models proposed in this paper are based on an “angular” approach
Improving the monitoring indicators of a variable speed wind turbine using support vector regression
Publikováno v:
Applied Acoustics
Applied Acoustics, Elsevier, 2020, 166, pp.107350. ⟨10.1016/j.apacoust.2020.107350⟩
Applied Acoustics, Elsevier, 2020, 166, pp.107350. ⟨10.1016/j.apacoust.2020.107350⟩
For over a decade, most wind turbines have worked by adapting their rotation speed to that of the wind. This operating method, now widely used, allows optimal tip speed ratio to be achieved whatever the weather conditions, and in fact produces much b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::612e6612240b372ecabec457793faed0
https://hal.archives-ouvertes.fr/hal-02548874
https://hal.archives-ouvertes.fr/hal-02548874
Publikováno v:
Applied Condition Monitoring ISBN: 9783030112196
Variable speed wind turbines use the available wind resource more efficiently than a fixed speed wind turbine, especially during light wind conditions. This enhancement forces the monitoring methods to deal with these large variations in speed and to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10458191ac177d7aafcdd10678a4446b
https://doi.org/10.1007/978-3-030-11220-2_6
https://doi.org/10.1007/978-3-030-11220-2_6
Publikováno v:
International Conference on Gears 2019
International Conference on Gears 2019, VDI Verlag, pp.1039-1052, 2019, ⟨10.51202/9783181023556-1039⟩
International Conference on Gears 2019, VDI Verlag, pp.1039-1052, 2019, ⟨10.51202/9783181023556-1039⟩
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::695a0b0fa2e76ee75855544edfe6673f
https://hal.archives-ouvertes.fr/hal-03109305
https://hal.archives-ouvertes.fr/hal-03109305
Publikováno v:
Applied Condition Monitoring ISBN: 9783319619262
Instantaneous Angular Speed (IAS) has been shown to be an alternative signal to detect bearing faults in geared systems. Detection of the presence of bearing faults in rotating systems requires understanding of the transfer way between the defect and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8301d503362450b929ceab6f4c53a1d
https://doi.org/10.1007/978-3-319-61927-9_4
https://doi.org/10.1007/978-3-319-61927-9_4
Publikováno v:
Engineering Applications of Artificial Intelligence. 35:71-83
This paper presents a new approach that avoids the over-fitting and complexity problems suffered in the construction of decision trees. Decision trees are an efficient means of building classification models, especially in industrial engineering. In
Publikováno v:
Mechanical Systems and Signal Processing
Mechanical Systems and Signal Processing, Elsevier, 2013, 40 (2), pp.452-468. ⟨10.1016/j.ymssp.2013.05.025⟩
Mechanical Systems and Signal Processing, Elsevier, 2013, 40 (2), pp.452-468. ⟨10.1016/j.ymssp.2013.05.025⟩
International audience; Over the past two decades, condition monitoring and faults diagnosis in rotating machinery have been widely studied and reported. In the present paper an algorithm for fault diagnosis in industrial rotating machines facing new
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be8c0d07e2ff1bb166ffe765b05e230c
https://hal.archives-ouvertes.fr/hal-00905082
https://hal.archives-ouvertes.fr/hal-00905082
Publikováno v:
Condition Monitoring of Machinery in Non-Stationary Operations ISBN: 9783642287671
Condition monitoring and faults diagnosis in rotating machinery is a current research field. In this direction the use of pattern recognition combined with non-destructive testing techniques such as’ vibration analysis and signal processing can be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d13fc0af0b3d3d536e2febf76923ba71
https://doi.org/10.1007/978-3-642-28768-8_30
https://doi.org/10.1007/978-3-642-28768-8_30