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货物列车常用制动时如何掌握机车制动力
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作者 王奇钟 《铁道机车车辆》 2004年第4期64-66,共3页
通过机车制动力的控制特点与平稳操纵关系的论述 ,对货物列车机车司机常用制动时掌握机车制动力存在的问题及“大劈叉”的利弊进行了说明和分析。在此基础上提出了常用制动时 。
关键词 货物列车 机车制动力 常用制动 平稳操纵
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机车制动力防止列车溜逸问题的探讨及对策
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作者 凡书安 《内燃机与配件》 2018年第14期68-69,共2页
新时期,我国的综合国力显著增强,成功跻身于世界大国之一,各行各业的发展也蒸蒸日上,经济实力不容小觑。目前列车行业不仅是我国经济的重要组成部分,也为人们的出行带来了极大的便利。然而,我国部分地区列车的制动性能还不完备,如果不... 新时期,我国的综合国力显著增强,成功跻身于世界大国之一,各行各业的发展也蒸蒸日上,经济实力不容小觑。目前列车行业不仅是我国经济的重要组成部分,也为人们的出行带来了极大的便利。然而,我国部分地区列车的制动性能还不完备,如果不及时采取行之有效的对策,那么列车出行的同时也蕴藏着极大的安全隐患。对此,本文对我国现存的机车溜逸问题进行了简要分析,并相应的提出了一些优化方案,望对我国列车出行的安全性提升有一些指导意义。 展开更多
关键词 机车制动力 列车溜逸 对策
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重载组合列车纵向力优化的联合制动分析及研究 被引量:6
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作者 李蔚 姚美琪 +3 位作者 张勐轶 张文璐 于永生 吴建华 《铁道科学与工程学报》 EI CAS CSCD 北大核心 2023年第2期694-705,共12页
重载组合列车因其整体重量大,制动时会产生较大的纵向车钩力,而纵向车钩力大小是最能直观反映列车纵向冲动大小的因素。重载组合列车采用分布动力模式,在制动时只能通过机车施加空气制动指令。受列车管压力波速传递作用影响,列车的前后... 重载组合列车因其整体重量大,制动时会产生较大的纵向车钩力,而纵向车钩力大小是最能直观反映列车纵向冲动大小的因素。重载组合列车采用分布动力模式,在制动时只能通过机车施加空气制动指令。受列车管压力波速传递作用影响,列车的前后车辆存在制动不同步性,位于列车中部的重联机车纵向力作用更为复杂,严重时会影响重载组合列车的运行安全。通过建立重载组合列车的纵向动力学仿真模型,考虑空气制动时车辆间制动不同步性产生的附加扰动影响,仿真分析不同制动工况下重载组合列车的纵向力变化及变异现象。结合制动模式特性,通过调整空气制动和机车再生制动控制机制,特别是本务机车和重联机车制动力差值变化,提出适时异步匹配空气制动力和机车再生制动力的控制策略。仿真结果表明,适时异步匹配机车再生制动及空气制动可以有效减小组合列车整体纵向车钩力,重联机车的再生制动力异步匹配本务机车时,可以有效缓解长大下坡道及变坡道制动时重联机车的前堵后涌现象,降低列车纵向车钩力,可为重载组合列车优化制动策略提供参考。 展开更多
关键词 重载组合列车 纵向动 联合制动匹配 机车再生制动 车钩
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列车制动机操纵若干问题的探讨与建议 被引量:2
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作者 曹记胜 王奇钟 《铁道机车车辆》 2013年第4期80-82,共3页
针对2013年3月实施的《铁路机车操作规则》列车制动机操纵方面的修改内容,结合行车实际,对有关操纵要求、具体操纵方法及注意事项进行了分析论述。
关键词 长大下坡道 初次减压量 机车制动力 紧急制动 制动 贯通试验
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Hybridization and genome evolution II: Mechanisms of species divergence and their effects on evolution in hybrids 被引量:4
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作者 Richard I. BAILEY Fabrice EROUKHMANOFF Glenn-PETER SaeTRE 《Current Zoology》 SCIE CAS CSCD 2013年第5期675-685,共11页
Recent genomic studies have highlighted the importance of hybridization and gene exchange in evolution. We ask what factors cause variation in the impact of hybridization, through adaptation in hybrids and the likelih... Recent genomic studies have highlighted the importance of hybridization and gene exchange in evolution. We ask what factors cause variation in the impact of hybridization, through adaptation in hybrids and the likelihood of hybrid speciation. During speciation, traits that diverge due to both divergent and stabilizing selection can contribute to the buildup of reproductive isolation. Divergent directional selection in parent taxa should lead to intermediate phenotypes in hybrids, whereas stabilizing se- lection can also produce extreme, transgressive phenotypes when hybridization occurs. By examining existing theory and em- pirical data, we discuss how these effects, combined with differences between modes of divergence in the chromosomal distribu- tion of incompatibilities, affect adaptation and speciation in hybrid populations. The result is a clear and testable set of predic- tions that can be used to examine hybrid adaptation and speciation. Stabilizing selection in parents increases transgression in hy- brids, increasing the possibility for novel adaptation. Divergent directional selection causes intermediate hybrid phenotypes and increases their ability to evolve along the direction of parental differentiation. Stabilizing selection biases incompatibilities to- wards autosomes, leading to reduced sexual correlations in trait values and reduced pleiotropy in hybrids, and hence increased freedom in the direction of evolution. Directional selection causes a bias towards sex-linked incompatibilities, with the opposite consequences. Divergence by directional selection leads to greater dominance effects than stabilizing selection, with major but variable impacts on hybrid evolution [Current Zoology 59 (5): 675-685, 2013]. 展开更多
关键词 EVOLVABILITY CONSTRAINTS Dimensionality Hybrid ADAPTATION
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A Study of Maneuvering Control for an Air Cushion Vehicle Based on Back Propagation Neural Network 被引量:5
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作者 卢军 黄国樑 李姝芝 《Journal of Shanghai Jiaotong university(Science)》 EI 2009年第4期482-485,共4页
A back propagation (BP) neural network mathematical model was established to investigate the maneuvering control of an air cushion vehicle (ACV). The calculation was based on four-freedom-degree model experiments ... A back propagation (BP) neural network mathematical model was established to investigate the maneuvering control of an air cushion vehicle (ACV). The calculation was based on four-freedom-degree model experiments of hydrodynamics and aerodynamics. It is necessary for the ACV to control the velocity and the yaw rate as well as the velocity angle at the same time. The yaw rate and the velocity angle must be controlled correspondingly because of the whipping, which is a special characteristic for the ACV. The calculation results show that it is an efficient way for the ACV's maneuvering control by using a BP neural network to adjust PID parameters online. 展开更多
关键词 air cushion vehicle four degree of freedom back propagation (BP) neural network. PID control
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