Zobrazeno 1 - 10
of 2 315
pro vyhledávání: '"ELCD"'
Autor:
Fan, Lili1 (AUTHOR) fanlily913@nuaa.edu.cn, Yuan, Jiabin1 (AUTHOR), Zha, Keke1 (AUTHOR), Wang, Xunan1 (AUTHOR)
Publikováno v:
Remote Sensing. Oct2022, Vol. 14 Issue 20, p5225-5225. 23p.
Autor:
WANG Xia, GE MingTao
Publikováno v:
Jixie qiangdu, Vol 41, Pp 290-295 (2019)
Aiming at the no stationary characteristic of a gear fault vibration signal, it proposes a recognition method based on ELCD（Ensemble local Characteristic-scale decomposition） permutation entropy and RVM. First, the vibration signal was decomposed
Externí odkaz:
https://doaj.org/article/1de12583e87e4721a1f3cd7c39ff0314
Publikováno v:
Shock & Vibration. 1/15/2018, p1-10. 10p.
Autor:
Yang, Jiami1 (AUTHOR), Zeng, Yong1 (AUTHOR) yong.zeng@concordia.ca, Ekwaro-Osire, Stephen2 (AUTHOR), Nispel, Abraham2 (AUTHOR), Ge, Hua3 (AUTHOR)
Publikováno v:
Journal of Integrated Design & Process Science. 2020, Vol. 24 Issue 2, p5-28. 24p.
Publikováno v:
Remote Sensing, Vol 14, Iss 20, p 5225 (2022)
The detection and counting of lunar impact craters are crucial for the selection of detector landing sites and the estimation of the age of the Moon. However, traditional crater detection methods are based on machine learning and image processing tec
Externí odkaz:
https://doaj.org/article/8e43ceb69d9b47d99ef478c4fd1ff489
Publikováno v:
Journal of Integrated Design and Process Science. 24:5-28
As sustainability becomes increasingly important, product design is taking a proactive role in producing products that are both useful and sustainable. This paper introduces and discusses a tool named Environment-based life cycle decomposition (eLCD)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::574e2b9c6bec5b1dc81b473e47e15068
https://doi.org/10.3233/jid200018
https://doi.org/10.3233/jid200018
Autor:
Castro-Gamboa Ian, Cardoso Carmen L., Silva Dulce H. S., Cavalheiro Alberto J., Furlan Maysa, Bolzani Vanderlan da S.
Publikováno v:
Journal of the Brazilian Chemical Society, Vol 14, Iss 5, Pp 771-776 (2003)
Living cells are continuously exposed to a variety of challenges that exert oxidative stress and are directly related with senescence and the onset of various pathological conditions such as coronary heart disease, rheumatoid arthritis and cancer. Ne
Externí odkaz:
https://doaj.org/article/02e3e3bcaf874d99aac79a1577b2d301
Publikováno v:
Shock and Vibration, Vol 2018 (2018)
A rolling bearing fault diagnosis method based on ensemble local characteristic-scale decomposition (ELCD) and extreme learning machine (ELM) is proposed. Vibration signals were decomposed using ELCD, and numerous intrinsic scale components (ISCs) we
Externí odkaz:
https://doaj.org/article/6f827c6d610c4feba539954b2484a074
Publikováno v:
Journal of Engineering, Vol 2016 (2016)
Aiming at the nonstationary characteristic of a gear fault vibration signal, a recognition method based on permutation entropy of ensemble local characteristic-scale decomposition (ELCD) and relevance vector machine (RVM) is proposed. First, the vibr
Externí odkaz:
https://doaj.org/article/1ad9795574b34f3cb08f9fc9379551b5
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