针对大型电力变压器的低噪声设计问题,提出了一种以改进变压器结构降低其噪声为目的的噪声预估方法。首先通过建立变压器整体结构有限元模型和振动谐响应分析,得到变压器油箱结构表面振动响应;基于间接边界元方法,通过建立变压器的声学数值分析模型,将变压器油箱表面振动响应导入到声学模型中作为边界条件,采用声学分析软件求解变压器整机辐射噪声,从而实现变压器的噪声预估。运用文中提出的方法,定量预估了某型变压器的场点噪声,并且与同工况下的实测噪声进行对比分析,验证了噪声预估方法的可行性和有效性。最后 ...
莫娟 +4 more
doaj
基于三角形网格的混合有限元法研究及其在变压器流热耦合计算中的应用
在采用最小二乘有限元法及迎风有限元法分析变压器流—热耦合问题时,最小二乘有限元计算流场需要采用四边形网格,但对于含有角环、圆角等复杂结构的变压器模型,如果仅采用四边形网格进行剖分,则往往会出现网格畸变现象,此时将无法采用最小二乘有限元法计算流场。为了提高混合有限元法的适用范围,文中提出了一种基于三角形网格实现混合有限元的方法,即将三角形剖分网格处理成四边形网格,实现流场和温度场计算。为验证所提方法的有效性,文中采用混合有限元法分别对单分区模型和带有角环、静电环等复杂结构的换流变压器绕组模型进行流 ...
李浩 +4 more
doaj
目的分析吉林省耐多药结核分枝杆菌临床分离株rpoB、katG基因突变特点,为建立本省快速耐多药检测方法提供参考。方法对吉林省耐多药结核分枝杆菌菌株扩增rpoB、katG基因测序后比对分析。结果耐多药结核分枝杆菌rpoB、katG基因的突变率分别为83.53%和70.6%,突变类型包括点突变、联合突变和缺失。在rpoB基因中,82.30%突变发生在RRDR区域,最常见突变位点为rpoB 531、rpoB 526、rpoB 516。KatG基因突变率为70.6%,最常见突变位点为katG315 ...
张炜煜 +4 more
doaj
[Preliminary investigation into the mechanisms of thalidomide in inhibiting the malignant transformation of oral leukoplakia]. [PDF]
Shang Q, Awuti G, Xu H, Chen Q, Zhao J.
europepmc +1 more source
[Determination of two pancreatic stimulants in equine urine using ionic liquid-based deep eutectic solvent-assisted liquid-liquid microextraction and ultra-high performance liquid chromatography-tandem mass spectrometry]. [PDF]
Chen Q, Ma ZC, Li YN.
europepmc +1 more source
[Artificial intelligence-enabled full-course diagnosis and treatment for patients with severe burns and wounds requiring repair: from risk prediction to causal inference]. [PDF]
Nie WZ, Xie KL.
europepmc +1 more source
[Construction of a genotype-phenotype database and machine learning models for pseudohypertrophic muscular dystrophy]. [PDF]
Chu YX, Zhang CL, Peng J.
europepmc +1 more source
[Association between 473 gut microbiota and Alzheimer's disease: a Mendelian randomization mediation analysis of 233 circulating metabolites]. [PDF]
Li D, Li Y, Yang X, Wang Y, Qu Y.
europepmc +1 more source
[Research on blood viscoelasticity detection based on electrowetting technology]. [PDF]
Wang C, Huo W, Yang L, Huang X, Yang W.
europepmc +1 more source
[Development of a machine learning-based model for assessing pulmonary function in elderly patients]. [PDF]
Chen C +6 more
europepmc +1 more source

