Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Eric Y. Kim"'
Publikováno v:
Advances in Evolutionary Algorithms
Genetic algorithms (GAs) are powerful stochastic search techniques and are the most widely known types of evolutionary algorithms (EAs). This method performs a search by evolving a population of candidate solutions through the use of non-deterministi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::235f0f501a8593715aa896ee2bde1b9b
http://www.intechopen.com/articles/show/title/a_hybrid_evolutionary_algorithm_and_its_application_to_parameter_identification_of_rolling_elements_
http://www.intechopen.com/articles/show/title/a_hybrid_evolutionary_algorithm_and_its_application_to_parameter_identification_of_rolling_elements_
Publikováno v:
American Journal of Ophthalmology. 171:84-87
Purpose To report one surgeon's experiences with bilateral lateral rectus resections in dysthyroid ophthalmopathy patients with residual esotropia after initial bilateral medial rectus recession. Design Retrospective interventional case series evalua
Publikováno v:
IEEE Transactions on Power Electronics. 30:2786-2797
This paper proposes a highly reliable fault diagnosis approach for low-speed bearings. The proposed approach first extracts wavelet-based fault features that represent diverse symptoms of multiple low-speed bearing defects. The most useful fault feat
Autor:
Lorenzo Giacani, B. Charmie Godornes, Barbara J. Molini, B. Troy Leader, Eric Y. Kim, Lauren C. Tantalo, Sheila A. Lukehart, Arturo Centurion-Lara
Publikováno v:
The Journal of Immunology. 184:3822-3829
Pathogens that cause chronic infections often employ antigenic variation to evade the immune response and persist in the host. In Treponema pallidum (T. pallidum), the causative agent of syphilis, the TprK Ag undergoes variation of seven V regions (V
Publikováno v:
Nondestructive Testing and Evaluation. 24:313-328
This study presents an acoustic emission (AE) based fault diagnosis for low speed bearing using multi-class relevance vector machine (RVM). A low speed test rig was developed to simulate the various defects with shaft speeds as low as 10 rpm under se
Autor:
Jong-Duk Son, Byeong-Keun Choi, Joseph Mathew, Bo-Suk Yang, Eric Y. Kim, Dong-Sik Gu, Andy C. C. Tan, Achmad Widodo
Publikováno v:
Expert Systems with Applications
This study concerns with fault diagnosis of low speed bearing using multi-class relevance vector machine (RVM) and support vector machine (SVM). A low speed test rig was developed to simulate various types of bearing defects associated with shaft spe
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319135595
PRICAI
PRICAI
This paper proposes a genetic algorithm-based dimensionality reduction approach for reliable low-speed rolling element bearing fault diagnosis by exploiting both inter-class separability and intra-class compactness. In this study, multiple bearing de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2bbd2d71b2cee8e3545301decfe90833
https://doi.org/10.1007/978-3-319-13560-1_95
https://doi.org/10.1007/978-3-319-13560-1_95
Publikováno v:
Information Sciences. 311:205-206
Publikováno v:
Journal of American Association for Pediatric Ophthalmology and Strabismus. 20:e3
Publikováno v:
Engineering Asset Management and Infrastructure Sustainability ISBN: 9780857293015
Vibration analysis has been a prime tool in condition monitoring of rotating machines, however, its application to internal combustion engines remains a challenge because engine vibration signatures are highly non-stationary that are not suitable for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13bfbb8fc4bea95080bcb005a5c4b4c2
https://doi.org/10.1007/978-0-85729-493-7_37
https://doi.org/10.1007/978-0-85729-493-7_37