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Deterioration in Heat Transfer of Endothermal Hydrocarbon Fuel

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Journal of Thermal Science 2011年第2期20卷 173-180页

作者： weixing zhou Wen Bao Jiang Qin Yunfeng Qu Harbin Institute of Technology Harbin China 150001

Numerical studies under supercritical pressure are carried out to study the heat transfer characteristics in a single-root coolant channel of the active regenerative cooling system of the scramjet engine, using actual physical properties of pentane. The relationships between wall temperature and inlet temperature, mass flow rate, wall heat flux, inlet pressure, as well as center stream temperature are obtained. The results suggest that the heat transfer deterioration occurs when the fuel temperature approaches the pseudo-critical temperature, and the wall temperature increases rapidly and heat transfer coefficient decreases sharply. The decrease of wall heat flux, as well as the increase of mass flow rate and inlet pressure makes the starting point of the heat transfer deterioration and the peak point of the wall temperature move backward. The wall temperature increment induced by heat transfer deterioration decreases, which could reduce the severity of the heat transfer deterioration. The relational expression of the heat transfer deterioration critical heat flux derives from the relationship of the mass flow rate and the inlet pressure.

关键词： supercritical pressure pentane heat transfer deterioration numerical study

Power generation and heat sink improvement characteristics of recooling cycle for thermal cracked hydrocarbon fueled scramjet

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Science China(Technological Sciences) 2011年第4期54卷 955-963页

作者： BAO Wen QIN Jiang zhou weixing ZHANG Duo YU DaRen Harbin Institute of Technology Harbin 150001China

In order to further investigate how much fuel heat sink could be increased and how much power generation could be obtained by using recooling cycle for a regeneratively cooled scramjet,the energy conversion from heat to electricity and the fuel heat sink increase in recooling cycle are experimentally investigated for fuel conversion rate and components of gas cracked fuel products at different fuel *** results indicate that the total fuel heat sink(i.e.,physical+chemical+recooling) of a recooling cycle is obviously higher than the heat sink of fuel itself,and the maximum heat sink increment is as high as 0.4 MJ/kg throughout the recooling ***,the cracked fuel mixture has a significant capacity of doing *** thermodynamic power generation scheme,which adopts the cracked fuel gas mixture as the working fluid,is a potential power generation cycle,and the maximum specific power generation is about 500 kW/***-pump scheme using cracked fuel gas mixture is also a potential fuel feeding cycle.

关键词： recooling cycle scramjet heat sink power generation thermal cracking

Anomaly detection of hot components in gas turbine based on frequent pattern extraction

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Science China(Technological Sciences) 2018年第4期61卷 567-586页

作者： LIU JinFu ZHU LinHai MA YuJia LIU Jiao zhou weixing YU DaRen School of Energy Science and Engineering Harbin Institute of TechnologyHarbin 150001China AVIC Electromechanical(Shenyang)Sanyo Refrigeration Equipment Co.Ltd. Shenyang 110027China

Hot components operate in a high-temperature and high-pressure environment. The occurrence of a fault in hot components leads to high economic losses. In general, exhaust gas temperature(EGT) is used to monitor the performance of hot ***, during the early stages of a failure, the fault information is weak, and is simultaneously affected by various types of interference, such as the complex working conditions, ambient conditions, gradual performance degradation of the compressors and turbines, and noise. Additionally, inadequate effective information of the gas turbine also restricts the establishment of the detection model. To solve the above problems, this paper proposes an anomaly detection method based on frequent pattern extraction. A frequent pattern model(FPM) is applied to indicate the inherent regularity of change in EGT occurring from different types of interference. In this study, based on a genetic algorithm and support vector machine regression, the relationship model between the EGT and interference was tentatively built. The modeling accuracy was then further improved through the selection of the kernel function and training data. Experiments indicate that the optimal kernel function is linear and that the optimal training data should be balanced in addition to covering the appropriate range of operating conditions and ambient temperature. Furthermore, the thresholds based on the Pauta criterion that is automatically obtained during the modeling process, are used to determine whether hot components are operating abnormally. Moreover, the FPM is compared with the similarity theory, which demonstrates that the FPM can better suppress the effect of the component performance degradation and fuel heat value fluctuation. Finally, the effectiveness of the proposed method is validated on seven months of actual data obtained from a Titan130 gas turbine on an offshore oil platform. The results indicate that the proposed method can sensitively dete

关键词： frequent pattern model(FPM) support vector machine regression(SVR) genetic algorithm(GA) gas turbine hot components anomaly detection

A Coherent Pattern Mining Algorithm Based on All Contiguous Column Bicluster

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Journal of Artificial Intelligence and Technology 2022年第3期2卷 80-92页

作者： Xiaohui Hu Qiuhua Kuang Qianhua Cai Yun Xue weixing zhou and Li Ying School of Electronics and Information Engineering South China Normal UniversityFoshanGuangdong 528000China Department of Propaganda and Education Guangzhou Women and Children HospitalGuangzhouGuangdong 511442China

Microarray contains a large matrix of information and has been widely used by biologists and bio data scientist for monitoring combinations of genes in different *** coherent patterns in all continuous columns are mined in gene microarray data *** is investigated,in this study,the coherent patterns in all continuous columns in gene microarray data matrix by developing the time series similarity measure for the coherent patterns in all continuous columns,as well as the evaluation function for verifying the proposed algorithm and the corresponding *** continuous time changes are taken into account in the coherent patterns in all continuous columns,and co-expression patterns in time series are *** order to use all the common information between sequences,a similarity measure for the coherent patterns in continuous columns is defined in this *** validate the efficiency of the similarity measure to mine biological information at continuous time points,an evaluation function is defined to measure biclusters,and an effective algorithm is proposed to mine the *** experiments are conducted to verify the biological significance of the biclusters,which include synthetic datasets and real gene microarray *** performance of the algorithm is analyzed,and the results show that the algorithm is highly efficient.

关键词： contiguous column coherent biclusters gene data similarity measure time series

基于动态规划的双序列比对算法构件设计与实现

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计算机研究与发展 2019年第9期56卷 1907-1917页

作者：石海鹤周卫星江西师范大学计算机信息工程学院

双序列比对算法是生物信息学中的一个关键算法,广泛应用于序列相似性分析以及基因组序列数据库搜索.现有研究主要针对特定应用问题优化和使用相对应比对算法,缺乏高抽象层算法框架的细致研究,在一定程度上导致了序列比对算法的冗余性以... 详细信息

双序列比对算法是生物信息学中的一个关键算法,广泛应用于序列相似性分析以及基因组序列数据库搜索.现有研究主要针对特定应用问题优化和使用相对应比对算法,缺乏高抽象层算法框架的细致研究,在一定程度上导致了序列比对算法的冗余性以及人为选择算法可能造成的误差等问题,也使得人们难以有效地了解算法结构.通过深入分析基于动态规划的双序列比对算法(dynamic programming-based pairwise sequence alignment algorithm, DPPSAA)领域,在建立该算法领域的特征模型以及对应算法构件交互模型基础上,利用PAR 平台形式化实现双序列比对算法构件库,并装配生成具体算法,保证了形式化装配算法的可靠性,为序列相似性分析算法应用提供了一条有价值的参考途径.最后,利用PAR平台 C++程序生成系统将组装的比对算法转换为 C++程序,运行结果表明DPPSAA算法构件库具有一定的实用性.

关键词：双序列比对算法动态规划特征模型构件交互模型 PAR平台

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辽代把杯、折肩罐

装饰 2008年第5期 120-121页

作者：周卫星清华大学美术学院

辽代金银多棱把杯酷似盛唐器物,但两者之间却有近两百年的时间断层。在高昌回鹘壁画中找到的线索,也许可以为解释这一现象提供一种思路。折肩罐是典型的突厥器物,在辽代金银器中也颇常见,并且还出现了为数不少的陶瓷作品。对辽代金银把... 详细信息

辽代金银多棱把杯酷似盛唐器物,但两者之间却有近两百年的时间断层。在高昌回鹘壁画中找到的线索,也许可以为解释这一现象提供一种思路。折肩罐是典型的突厥器物,在辽代金银器中也颇常见,并且还出现了为数不少的陶瓷作品。对辽代金银把杯、折肩罐来源的探寻,揭示了北方民族之间的文化交流,是研究辽代金银器应该重视的一个方面。

关键词：辽代把杯折肩罐文化交流

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宋代金银器高浮雕凸花和立体装饰

装饰 2009年第5期 80-81页

作者：周卫星清华大学美术学院

高浮雕凸花和立体装饰是宋代金银器的特色之一。今天所见的实物多为南宋作品,但仍有种种迹象显示,它们的出现可能会早到北宋。这种装饰在宋代的流行,既体现了工艺的演进,又代表了审美风尚的变迁。除了装饰器物,有时,它们还兼具实用,这... 详细信息

高浮雕凸花和立体装饰是宋代金银器的特色之一。今天所见的实物多为南宋作品,但仍有种种迹象显示,它们的出现可能会早到北宋。这种装饰在宋代的流行,既体现了工艺的演进,又代表了审美风尚的变迁。除了装饰器物,有时,它们还兼具实用,这座该是宋代的独创。

关键词：宋金银器装饰

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基于全卷积回归网络的图像去雾算法

激光与光电子学进展 2019年第20期56卷 244-253页

作者：张泽浩周卫星华南师范大学物理与电信工程学院

针对当前去雾算法经常出现过度曝光、颜色失真等问题,提出了一种基于全卷积回归网络的去雾算法。该回归网络基于端到端系统,由特征提取和特征融合两部分构成。首先,输入有雾图像,经过特征提取和特征融合,最终回归为粗透射率图;之后使用... 详细信息

针对当前去雾算法经常出现过度曝光、颜色失真等问题,提出了一种基于全卷积回归网络的去雾算法。该回归网络基于端到端系统,由特征提取和特征融合两部分构成。首先,输入有雾图像,经过特征提取和特征融合,最终回归为粗透射率图;之后使用导向滤波对其进行优化,再利用大气物理散射模型反演出无雾图像;最终采用限制对比度自适应直方图均衡化(CLAHE)对无雾图像进行增强,以得到更符合人类视觉的清晰图像。所提算法不仅可以有效避免去雾后出现的过度曝光和颜色失真等问题,而且能保留图像完整的细节信息,具有较好的去雾效果。

关键词：图像处理图像去雾算法卷积神经网络端到端限制对比度自适应直方图均衡化

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赓续红色血脉:红色文化烙印与个人慈善捐赠

系统工程理论与实践 2023年第11期43卷 3129-3145页

作者：蒋志强崔岩王莉周炜星华东理工大学商学院华东理工大学国际卓越工程师学院

红色文化是中国共产党领导人民在革命、建设和改革进程中,所创造和积累的具备中国特色的先进文化和精神财富.那么,蕴含无私奉献、团结互助等精神的红色文化是否可以激发和促进个人的捐赠行为?本文利用53026个医疗众筹项目共68232709条... 详细信息

红色文化是中国共产党领导人民在革命、建设和改革进程中,所创造和积累的具备中国特色的先进文化和精神财富.那么,蕴含无私奉献、团结互助等精神的红色文化是否可以激发和促进个人的捐赠行为?本文利用53026个医疗众筹项目共68232709条医疗众筹捐款记录数据,探究红色文化烙印对个人慈善捐赠的影响机制.研究发现:革命老区是培育红色文化的摇篮,老区人民所传承的红色基因能够促进公众慈善捐赠;求助项目中讲述的军人事迹可以唤醒红色文化,提高筹款金额;蕴含红色属性的个体积极践行红色文化,表现出较高的慈善捐赠意愿.在作用机制方面,革命老区发挥了宣传红色文化资源和传承红色基因的作用,有助于提高人们对红色文化的关注度,从而促进公益慈善捐赠.红色节日激活红色文化烙印,吸引更多人参与和关注慈善捐赠.进一步研究发现,优抚政策会强化红色文化烙印对总支持人数的积极影响.具备红色属性的个体面对亲友和陌生人,都表现出较高的捐赠水平.本文提供了独特的研究视角,揭示了文化因素对个人慈善捐赠的影响,对倡导社会主义核心价值观、促进公众慈善事业发展具有重要的理论和实践意义.

关键词：红色文化烙印捐赠型众筹革命老区军人事迹红色属性