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Trisoxazole Macrolide from a Marine Sponge Sarcotragus Species
Yonghong Liu,Pramod B. Shinde,Jongki Hong,Lee Chong-O,Kwang Sik Im,Jee H. Jung 한국생약학회 2005 Natural Product Sciences Vol.11 No.1
Bioassay-directed fractionation of the lipophilic extract of a marine sponge Sarcotragus sp. led to theisolation of a known trisoxazole containing macrolide, mycalolide B (1). Its structure was identified by NMR andMS analyses. This is the first report on the isolation of macrolide from a sponge of the genus Sarcotragus (Order:Dictyoceratida).
PACKING LATIN SQUARES BY BCL ALGEBRAS
LIU, YONGHONG The Korean Society for Computational and Applied M 2022 Journal of applied mathematics & informatics Vol.40 No.1-2
We offered a new method for constructing Latin squares. We introduce the concept of a standard form via example for Latin squares of order n and we also call it symmetric BCL algebras matrix, and thereby become BCL algebra representations of the picture of Latin squares. Our research shows that some new properties of the Latin squares with BCL algebras are in ℤ<sub>n</sub>.
A fault diagnosis method for rolling element bearings based on ICEEMDAN and Bayesian network
Zengkai Liu,Kanglei Lv,Chao Zheng,Baoping Cai,Gang Lei,Yonghong Liu 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.5
As commonly used components in rotating machinery, rolling element bearings (REBs) can fail due to complex working conditions and high-speed rotation. The failure of bearings may cause great damage. It is necessary to identify the faults of bearings to prevent property losses and heavy casualties. This paper proposes a fault diagnosis approach based on improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) and Bayesian network. The intrinsic mode functions (IMFs) extracted by ICEEMDAN algorithm are applied to construct feature vectors based on the energy entropy, and then the fault diagnosis model of the bearing is constructed by Bayesian network. The influence of load and sampling frequency on diagnostic accuracy of the bearing with different fault types is studied in this paper. And the research results show that the ICEEMDAN-BN method can improve the uncertainty reasoning ability and accuracy of the developed fault diagnosis model.