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Integrated operation and maintenance optimization for high-speed train fleets considering passenger flow 考虑客流的高速列车机队综合运维优化
IF 2.5 3区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2022-04-15 DOI: 10.17531/ein.2022.2.11
Jiankun Liu, Zuhua Jiang, Hongming Zhou
A joint optimization model of maintenance and operation of high-speed train fleets is established with the optimization objective of minimizing the total costs, considering dynamic passenger flow and maintenance resources. A new maintenance strategy CCPM (Coordinating Conflicts Preventive Maintenance) is proposed to optimize the problem. The effectiveness of the model and the strategy are verified by numerical examples. The comparison between the strategy in the paper and the existing approach proves that the new strategy is more effective and shows the importance of considering dynamic passenger flow. The model and the strategy provide decision support for the actual high-speed trains operation and maintenance program. This study also offers new ideas to the subsequent research on preventive maintenance of high-speed trains.
以总成本最小为优化目标,考虑动态客流和维修资源,建立了高速列车机队维修与运行联合优化模型。针对这一问题,提出了一种新的维修策略——协调冲突预防性维修(CCPM)。通过数值算例验证了模型和策略的有效性。通过与现有方法的比较,证明了新策略的有效性,表明了考虑客流动态的重要性。该模型和策略为实际的高速列车运维方案提供决策支持。本研究也为后续高速列车预防性维修的研究提供了新的思路。
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引用次数: 2
Investigation of the influence of hydraulic oil temperature on the variable-speed pump performance 液压油温度对变速泵性能影响的研究
IF 2.5 3区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2022-04-09 DOI: 10.17531/ein.2022.2.10
Łukasz Stawiński, A. Kosucki, Maciej Cebulak, Adrian Górniak vel Górski, Mikołaj Grala
This paper describes investigation on the influence of hydraulic oil temperature on theperformance of a hydraulic pump. The aim of the research is to determine changes involumetric efficiency of the pump in the form of maps of operation at different temperatures of the hydraulic oil, in conditions of variable speed and pressure. The described tests were carried out on an experimental stand with a hydraulic fixed-displacement gear pump controlled by a servo motor. Based on the signals from the sensors processed with the LabVIEW program, maps of the hydraulic pump operation were drown in a wide range of speeds and temperatures. The paper presents the results of the research and based on this the conclusions regarding the main aim of the research and others that were observed during the measurements were presented. The most important conclusion from the study shows that the temperature-dependent characteristics provide users with a significant amount of information such as operating conditions that will ensure a high level of efficiency.
本文研究了液压油温度对液压泵性能的影响。研究的目的是确定泵的渐开线效率的变化,在不同温度的液压油,在变速和压力的条件下,以操作图的形式。实验采用伺服电机控制的液压定排量齿轮泵进行。根据LabVIEW程序处理的传感器信号,绘制出液压泵在不同转速和温度下的运行图。本文介绍了研究的结果,并在此基础上得出了关于研究的主要目的和在测量期间观察到的其他结论。该研究最重要的结论表明,温度依赖特性为用户提供了大量信息,例如确保高效率的操作条件。
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引用次数: 6
Defensive strategy optimization of consecutive-k-out-of-n systems under deterministic external risks 确定性外部风险下连续k / n系统的防御策略优化
IF 2.5 3区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2022-04-09 DOI: 10.17531/ein.2022.2.12
Jiangbin Zhao, Zaoyan Zhang, Tianbo Xu, Xian-gang Cao, Qiyu Wang, Zhiqiang Cai
Consecutive-k-out-of-n (Con/k/n) system, a reconfigurable system, can improve the system performance by adjusting the redundancy and assignment of components. This paper aims to determine the optimal defensive strategy of Con/k/n systems under external risks. The defensive capability of Con/k/n systems is evaluated based on real-time system reliability, and a defensive importance measure (DIM) is constructed to optimize components’ redundancy locally. To solve the proposed optimization model effectively, a DIM-based genetic algorithm (DIGA) is developed by integrating the advantages of DIM’s local search with the global search ability of the classical genetic algorithm (CGA). The numerical experiment under 36 scenarios illustrates that DIGA is more effective than CGA verified by average defensive capability, robustness, and convergence generations. Moreover, the redundancy distribution analysis of Con/k/5 systems in the optimal defensive strategy shows that the redundancy of F(G) systems is in a spaced (continuous) way under spacing k-1 risk or continuous k risk.
连续k-out- n (Con/k/n)系统是一种可重构系统,可以通过调整冗余度和组件分配来提高系统性能。本文旨在确定外部风险下Con/k/n系统的最优防御策略。基于系统实时可靠性对Con/k/n系统的防御能力进行了评估,并构造了一个防御重要性测度(DIM)来局部优化组件的冗余度。为了有效求解该优化模型,将DIM的局部搜索优势与经典遗传算法的全局搜索能力相结合,提出了一种基于DIM的遗传算法(DIGA)。36个场景下的数值实验表明,从平均防御能力、鲁棒性和收敛代数等方面验证了DIGA算法比CGA算法更有效。此外,对最优防御策略下Con/k/5系统的冗余分布分析表明,在间隔k-1风险和连续k风险下,F(G)系统的冗余是间隔(连续)的。
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引用次数: 1
Dynamic reliability evaluation of buried corroded pipeline under rockfall impact 岩崩冲击下埋地腐蚀管道动态可靠性评价
IF 2.5 3区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2022-04-04 DOI: 10.17531/ein.2022.2.9
Yifei Wang, Mingjiang Xie, Chunya Su
Load impact, such as the rockfall, may bring significant threats to the integrity management of pipeline. This study is intended to evaluate the reliability of buried pipeline under rockfall impact, and so as to reduce the possible failure and unnecessary downtime. Firstly, the dynamic response of the buried pipeline under load is analyzed by Euler Bernoulli foundation beam. After that, the process of rockfall impact on buried corroded pipeline is simulated with nonlinear finite element method. Furthermore, the influence of rockfall’s parameters (including rockfall mass, impact velocity, impact position, etc.) on the pipeline’s equivalent stress is quantitatively analyzed. Eventually, a time-varying reliability model is established to calculate the failure probability. The results indicate that the mass and velocity of the rockfall have obvious influence on the pipeline’s failure probability, and the change of impact’s position has small influence. The proposed method can provide a theoretical reference for the design and maintenance of buried pipeline.
岩崩等荷载冲击对管道的完整性管理构成重大威胁。本研究旨在评估落石冲击下埋地管道的可靠性,以减少可能发生的失效和不必要的停机时间。首先,采用欧拉-伯努利基础梁分析了埋地管道在荷载作用下的动力响应。在此基础上,采用非线性有限元法模拟了岩崩对埋地腐蚀管道的冲击过程。定量分析了落石质量、冲击速度、冲击位置等参数对管道等效应力的影响。最后,建立时变可靠性模型,计算失效概率。结果表明,落石质量和落石速度对管道的破坏概率有明显影响,而落石位置的变化对管道的破坏概率影响较小。该方法可为埋地管道的设计和维护提供理论参考。
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引用次数: 1
Thermal strength analysis of a steel bolted connection under bolt loss conditions 螺栓损失条件下钢螺栓连接的热强度分析
IF 2.5 3区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2022-03-15 DOI: 10.17531/ein.2022.2.8
R. Grzejda
The aim of the paper is to analyse an exemplary bolted connection under the conditions of loss of bearing capacity of some fasteners in the connection. The presented tests are numerical and concern an asymmetric bolted connection. The joined elements in the connection were modelled as 3D finite elements, and the fasteners were treated as hybrid models consisting of rigid heads and nuts, and flexible beams between them. The bolted connection was first preloaded according to six different tensioning orders using a standardised force. After all bolts were tensioned, the selected bolts were removed, simulating bolt damage. The connection was then tested for external loads with temperatures ranging from 20 to 600°C. The influence of loosening the connection on the load in the remaining bolts at the operational stage of the connection was investigated. The calculation results were compared with the test results for a healthy bolted connection. It was shown that the bearing capacity of the connection in the damaged state decreased by 13%.
本文的目的是分析一个典型的螺栓连接中某些紧固件失去承载能力的情况。所提出的试验是数值的,涉及非对称螺栓连接。将连接件中的连接单元建模为三维有限元,将紧固件处理为刚性头和螺母以及它们之间的柔性梁组成的混合模型。螺栓连接首先按照六种不同的张紧顺序使用标准化的力进行预加载。所有螺栓张紧后,取下所选螺栓,模拟螺栓损伤。然后对连接进行了温度范围为20至600°C的外部负载测试。在连接运行阶段,研究了连接松动对剩余螺栓载荷的影响。将计算结果与健康螺栓连接的试验结果进行了比较。结果表明,在破坏状态下,连接的承载力下降了13%。
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引用次数: 11
Analysis of the influence of hydraulic fluid quality on external gear pump performance 液压液质量对外啮合齿轮泵性能的影响分析
IF 2.5 3区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2022-03-15 DOI: 10.17531/ein.2022.2.7
Borivoj Novaković, L. Radovanović, Ninoslav Zuber, D. Radosav, L. Đorđević, M. Kavalić
The basis of every hydraulic system is based on energy transformations, which are realizedthrough hydraulic working fluid. Hydraulic oils are certainly subject to changes within theirstructure, meaning the basic characteristics and parameters of hydraulic oil, such as density, viscosity, humidity. The oils that are exploited are exposed to the process of degradation, which largely leads to significantly poorer quality of hydraulic fluid. The paper deals with the influence of changes in the characteristics of the hydraulic fluid on the hydraulic operating parameters of the gear pump installed on the hydraulic press. The parameters refer to pressure, flow, and temperature, as well as the quality of hydraulic oil, which affects the volumetric efficiency of the pump, and the results presented in the conclusion are based on the measured values of parameters before and after corrective measures. The control of parameters aims to increase the efficiency and reliability of the hydraulic system, a way of modern detection of deviations of parameters from standard, required values.
每一个液压系统的基础都是基于能量转换,而能量转换是通过液压工作液来实现的。液压油当然会受到其结构变化的影响,这意味着液压油的基本特性和参数,如密度、粘度、湿度等都会发生变化。所开采的油暴露在降解过程中,这在很大程度上导致液压油的质量显着下降。研究了液压油特性变化对安装在液压机上的齿轮泵液压工作参数的影响。这些参数是指影响泵容积效率的压力、流量、温度以及液压油的质量,结论中给出的结果是基于纠正措施前后参数的实测值。参数控制旨在提高液压系统的效率和可靠性,是一种现代检测参数偏离标准值的方法。
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引用次数: 4
Predicting IoT failures with Bayesian workflow 用贝叶斯工作流预测物联网故障
IF 2.5 3区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2022-03-12 DOI: 10.17531/ein.2022.2.6
J. Baranowski
IoT networks are so voluminous that they cannot be treated as individual devices, but aspopulations. Main aim of the paper is to create a comprehensive method for predictingfailures taking device variance into consideration. We propose using data fusion of happenstance observations (resets and failures) to better estimate device parameters. We propose using methods of population analysis in Bayesian statistics to estimate failure times investigating only a part of the population. For this purpose, we use multilevel hierarchical Bayesian model and provide it with post stratification. We propose model assumptions, construct the model and evaluate it, and perform computations using Hamiltonian Monte Carlo. This method is known as the Bayesian workflow. We have analyzed three different models showing that, in case of small device variance, it can be ignored, or at least compensated, while significant differences require hierarchical modeling. We also show that hierarchical model shows significant robustness to a small amount of data. We have shown attractiveness ofBayesian approach to modeling failures of IoT devices. Ability to diagnose and tune models, and assure their computational fidelity is a great advantage of Bayesian workflow.
物联网网络是如此庞大,以至于它们不能被视为单个设备,而是一个整体。本文的主要目的是建立一种综合考虑设备方差的故障预测方法。我们建议使用偶然性观测(重置和故障)的数据融合来更好地估计设备参数。我们建议使用贝叶斯统计中的总体分析方法来估计只调查一部分总体的故障时间。为此,我们采用多层次贝叶斯模型,并对其进行后分层。我们提出模型假设,构建模型并对其进行评估,并使用哈密顿蒙特卡罗进行计算。这种方法被称为贝叶斯工作流。我们分析了三种不同的模型,表明在设备差异较小的情况下,可以忽略或至少补偿,而显着差异需要分层建模。我们还表明,层次模型对少量数据具有显著的鲁棒性。我们已经展示了贝叶斯方法对物联网设备故障建模的吸引力。能够诊断和调整模型,并保证其计算保真度是贝叶斯工作流的一大优势。
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引用次数: 2
A machine learning method for soil conditioning automated decision-making of EPBM: hybrid GBDT and Random Forest Algorithm 土壤调节自动决策的机器学习方法:混合GBDT和随机森林算法
IF 2.5 3区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2022-03-07 DOI: 10.17531/ein.2022.2.5
Lin Lin, Hao Guo, Yancheng Lv, Jie Liu, Chang-sheng Tong, Shuqin Yang
There lacks an automated decision-making method for soil conditioning of EPBM with highaccuracy and efficiency that is applicable to changeable geological conditions and takesdrive parameters into consideration. A hybrid method of Gradient Boosting Decision Tree(GBDT) and random forest algorithm to make decisions on soil conditioning using foam isproposed in this paper to realize automated decision-making. Relevant parameters includedecision parameters (geological parameters and drive parameters) and target parameters(dosage of foam). GBDT, an efficient algorithm based on decision tree, is used to determinethe weights of geological parameters, forming 3 parameters sets. Then 3 decision-makingmodels are established using random forest, an algorithm with high accuracy based on decision tree. The optimal model is obtained by Bayesian optimization. It proves that the model has obvious advantages in accuracy compared with other methods. The model can realize real-time decision-making with high accuracy under changeable geological conditions and reduce the experiment cost.
目前还缺乏一种适用于多变地质条件并考虑驱动参数的、高精度、高效的EPBM土壤调节自动化决策方法。本文提出了一种梯度增强决策树(GBDT)和随机森林算法的混合决策方法,用于泡沫土壤调节决策,实现自动化决策。相关参数包括决策参数(地质参数和驱动参数)和目标参数(泡沫用量)。采用基于决策树的高效算法GBDT确定地质参数的权重,形成3个参数集。然后利用随机森林这一基于决策树的高精度算法建立了3个决策模型。通过贝叶斯优化得到最优模型。与其他方法相比,该模型在精度上具有明显的优势。该模型可以在多变的地质条件下实现高精度的实时决策,降低实验成本。
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引用次数: 1
The impact of alcohol admixture with gasoline on carbon build-up and fuel injectors performance 乙醇与汽油混合对积碳和喷油器性能的影响
IF 2.5 3区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2022-03-02 DOI: 10.17531/ein.2022.2.4
Z. Stępień, I. Pielecha, W. Cieślik, F. Szwajca
The operating conditions of injectors in spark ignition engines with direct fuel injectionmake them susceptible to coking, which leads to a reduced quality of fuel atomization. This can be observed by a drop in performance and an increase in exhaust emissions, especially particulate matter. One effective method of reducing injector coking is by using detergentdispersing gasoline additives. The article describes the effect of using an admixture with a varied alcohol content on the quantitative and qualitative fuel atomization indicators. The research consisted of a 48-hour engine test, done in accordance with the CEC F-113-KC procedure (CEC-F-113 test). After each test cycle, the injectors underwent optical tests with the use of an isochoric chamber. The spray penetration and surface area were analyzed at a set of different fuel injection parameter values. The research performed resulted in determining the influence of each tested admixture on the change of injection time and on the geometric indicators of the fuel spray. The obtained characteristics of the engine in operation and conducted stationary tests enabled the operational evaluation of the impact an alcohol admixture with gasoline fuels had on key engine parameters.
直接喷油的火花点火发动机喷油器的工作条件使其容易结焦,从而导致燃油雾化质量下降。这可以通过性能下降和废气排放增加(尤其是颗粒物)来观察到。减少喷油器结焦的一种有效方法是使用清洁剂分散汽油添加剂。本文介绍了使用不同酒精含量的外加剂对定量和定性燃油雾化指标的影响。该研究包括一个48小时的发动机测试,按照CEC F-113-KC程序(CEC- f -113测试)完成。在每个测试周期后,使用等时腔对进样器进行光学测试。在一组不同的燃油喷射参数值下,分析了喷雾穿透和表面积。所进行的研究结果确定了每种测试混合物对喷射时间变化和燃油喷射几何指标的影响。所获得的发动机运行特性和进行的静态测试能够对汽油燃料的酒精混合物对发动机关键参数的影响进行运行评估。
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引用次数: 1
Dynamic load analysis of the connecting bolts in a universal joint 万向节连接螺栓的动载荷分析
IF 2.5 3区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2022-02-26 DOI: 10.17531/ein.2022.2.3
Yuchen An, Jing Liu, Z. Li
Dynamic loads of the connecting bolts in a universal joint can greatly affect the bolt fatigue and fracture, as well as the machinery safety and stability. But few researches focused on those. To obtain the dynamic load characteristics of the connecting bolts in a universal joint, this paper established a flexible dynamic model for the connecting bolts. A multibody dynamic model of a universal joint is developed. The dynamic loads on the connecting bolts of the universal joint are analyzed. The influences of the preloads, speeds and loads are studied. The amplitude and frequency properities are obtained. The effect of the preload is small when the preload is in the range of 80%~120% of the standard value. The load and speed have great influence on the time- and frequency-domain dynamic loads of the bolts. The flexible dynamic model of the connecting bolt is closer to the actual situation than the rigid model since it can consider the preload and deformation of the bolts. This study can provide guidance for the fatigue life prediction of the universal shaft and its bolts.
万向节连接螺栓的动载荷对螺栓的疲劳断裂和机械的安全稳定性有很大的影响。但很少有研究关注这些。为获得万向节连接螺栓的动载荷特性,建立了万向节连接螺栓的柔性动力学模型。建立了万向节的多体动力学模型。对万向节连接螺栓的动载荷进行了分析。研究了预紧力、速度和载荷对预紧力的影响。得到了其幅值和频率特性。预紧力在标准值的80%~120%范围内,预紧力的影响较小。载荷和速度对锚杆的时频域动载荷影响较大。连接螺栓的柔性动力学模型考虑了螺栓的预紧力和变形,比刚性模型更接近实际情况。该研究可为万向轴及其螺栓的疲劳寿命预测提供指导。
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引用次数: 0
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Eksploatacja I Niezawodnosc-Maintenance and Reliability
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