The application of dynamic bayesian network to reliability assessment of emu traction system

Wang, Yanhui; Bi, Lifeng; Wang, Shujun; Xiang, Wanxiao

doi:10.17531/ein.2017.3.5

Cited by 8 publications

(5 citation statements)

References 27 publications

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“…And, taking the bogie system of high-speed train as the example showed that the method can effectively analyze and estimate the reliability of the high-speed train. Wang et al 21 introduced a novel application of a dynamic Bayesian network (DBN) in the reliability assessment regarding the traction system of electric multiple units, which focus on modeling approach to DBN construction.…”

Section: Literature Reviewmentioning

confidence: 99%

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Reliability analysis of high-speed railway network

2019

Proceedings of the Institution of Mechanical Engineers, Part O:

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The reliability of high-speed railway network is an important issue for the sustainable development of railway traffic. A high reliable railway network not only has a longer service life but also has a greater ability to resist destruction of the network. In this article, based on the theory of complex network, we construct a topological networked model to study and analyze the reliability of high-speed railway network with respect to the destruction caused by natural disasters, geological disasters, equipment failure, or man-made disasters. In real world, heavy rain and snow storms are frequent on a large scale. These destructed regions are represented by network communities. Here, we put forward an evaluation index to quantify the network reliability. Taking China high-speed railway network as an example, the results show that some key communities has great influence on the network reliability. When these key communities are destructed by some natural factors, the reliability of railway network would reduce greatly or even breakdown. In addition, we find that the network reliability with the number of deleted communities approximately shows an exponential law.

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Section: Literature Reviewmentioning

confidence: 99%

“…Average shortest path length. For an undirected network, the average shortest path length (ASPL) is defined as follows 21…”

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confidence: 99%

Reliability analysis of high-speed railway network

2019

Proceedings of the Institution of Mechanical Engineers, Part O:

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“…To demonstrate our approach, consider a traction system of a high-speed train containing 27 components (see Table 7), as described in Wang et al 50 The traction system of the 350 km/h EMU train is one of the critical parts of China Railway High-speed X which plays an important role in providing the power. Figure 3 shows the structure of a traction system of CRHX.…”

Section: Reliability Assessment Of the Traction Systemmentioning

confidence: 99%

Reliability assessment of complex electromechanical systems: A network perspective

Lin

Wang

Jia

et al. 2018

Quality & Reliability Eng

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The network theory is widely applied to improve the reliability of a complex electromechanical system. In this application, system reliability assessment with network theory has been paid a great deal of attention. Because of instrument malfunctions, staff omissions, imperfect inspection strategies, and complex structures, field failure data are often subject to interval censoring, making the holistic reliability assessment becomes a difficult task. Most traditional methods assume reliability of critical components or partial reliability as system reliability, which may cause a large bias in system reliability estimation. This paper proposes a novel method to evaluate and predict the system reliability of a complex electromechanical system subject to the insufficient fault data problem from a network perspective. First, the system modeling based on network theory is developed to describe the topology of a holistic system. Second, interval-valued intuitionistic hesitant fuzzy number is proposed in order to solve insufficient data for single component. Then, a new measurecomprehensive reliability-that can reflect the reliability of nodes in combination with functional properties and topological properties, which are formulated by failure data and network model, respectively, is constructed for system reliability assessment. Subsequently, an improved system reliability model based on percolation theory is given in terms of comprehensive reliability of nodes. Finally, to verify the effectiveness of the proposed method, a simulation and a real case study for traction system are implemented.

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“…For the measurement of the real distance between a neighbouring object on the track, systems are used, which can be installed on the locomotive and measure different data from different sources [5][6], namely: -tachometer -GPS/GNSS -video data from high-resolution cameras installed on front and back of the locomotive -accelerometer …”

Section: Measurement Tool and Processmentioning

confidence: 99%

“…Rules defining the requirements of analysis data for safety critical systems are found in [2][3][4][5][6][7][8][9]. These rules may mean that, during analysis, two independent persons are required, with analysis of the video data carried out from two sides (one from the travel direction during the measurement run and one from the opposite side).…”

Section: Fig 6 Data Processmentioning

confidence: 99%