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Akademický článek

QTL mapping and candidate gene identification of seed glucosinolate content in Brassica napus

Autor: ZHAO Weiguo, TA Na, WANG Hao

Publikováno v: Xibei zhiwu xuebao, Vol 44, Iss 8, Pp 1261-1272 (2024)

Abstract [Objective] The study aims to discover the genetic loci and candidate genes of seed glucosinolate content in Brassica napus, and lay a foundation for the cloning of genes involved in glucosinolate metabolism and improving the breeding of B

Externí odkaz: https://doaj.org/article/e7f937173243461e96cc8abec5ac688d

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Akademický článek

Fault Diagnosis and Prognosis of Bearing Based on Hidden Markov Model with Multi-Features

Autor: Zhao Weiguo, Shi Tiancong, Wang Liying

Publikováno v: Applied Mathematics and Nonlinear Sciences, Vol 5, Iss 1, Pp 71-84 (2020)

A new approach to achieve fault diagnosis and prognosis of bearing based on hidden Markov model (HMM) with multi-features is proposed. Firstly, the time domain, frequency domain, and wavelet packet decomposition are utilized to extract the condition

Externí odkaz: https://doaj.org/article/26d75bbe2a3b4db5bac008934bf061cf

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Akademický článek

Dynamics and Wear Analysis of Hydraulic Turbines in Solid-liquid Two-phase Flow

Autor: Wang Liying, Li Bingyao, Zhao Weiguo

Publikováno v: Open Physics, Vol 17, Iss 1, Pp 790-796 (2019)

To solve unstable operating and serious wearing of a hydraulic turbine in its overflow parts under solid-liquid two-phase flow, a particle model software and an inhomogeneous model in CFX are used to simulate the hydraulic turbine to understand the w

Externí odkaz: https://doaj.org/article/95da2a36e73d48838ee3c975b17a8f19

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