Intuitionistic Mechanism for weak components identification method of complex electromechanical system

Lin, Sheng; Wang, Yanhui; Jia, Limin; Zhang, Hengrun; Li, Yang

doi:10.3233/jifs-17807

Cited by 6 publications

(10 citation statements)

References 40 publications

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“…The higher the value of 𝜆 v i (t) is, the easilier the minimum maintenace unit is to fail in function. 23 As indicated in previous studies, for instance, the distance of failure propagation for the high-speed train is usually less than three due to the redundant structure and the high reliability of minimum maintenance units. 16 In other words, if a minimum maintenance unit fails, the number of other minimum maintenance units affected by this mini-mum maintenance unit is less than three.…”

Section: System Reliability Assessment Of Traction Power Supply Systemmentioning

confidence: 86%

“…Generally, the performance of only critical components is monitored due to manufacturing cost and structural complexity. 10 For instance, in the bogie system of the EMU as shown in Figure 3, 23 the temperature of the traction motor is monitored, as is that of the axle and brake systems; the spring pressure on the secondary suspension is measured as well as the bogie frame speed and its acceleration. Generally, the numbers of them are large; moreover, a component may have multiple monitoring indicators.…”

Section: F I G U R Ementioning

confidence: 99%

“…In electrical connections, the minimum maintenance units are connected through the transmission of electrical current (or say gas, oil) through cables (pipes). 16,23 For example, in an electrical grid system (see Figure 9(A)), the power station transmits electricity to users through wires, thus the connections from power station to the residential and businesses are electrical connections as shown in For Informational connections, the minimum maintenance units are connected through the transfer of information or instructions over a transmission medium such as cables. 50,51 For example, Figure 10(A) shows a typical information transmission process in a high-speed train that includes standard informational connections between the driver's console and brake control system.…”

Section: Connectionsmentioning

confidence: 99%

“…The related data have been collected by the vehicle manufacturer, including accelerated life test data for the minimum maintenance units, monitoring data (ambient temperature, sensor data and so on) and fault data (failure time, fault description, running kilometers in case of failure and so on). 23 Using data from the accelerated life test or other parameters of minimum maintenance units conducted by the vehicle manufacturer, the distribution type of each node is determined using least-squares fitting, and the related parameters are calculated at the same time. 16 Table 5 lists the distribution type and parameters for the partial nodes.…”

Section: System Reliability Assessment Of Traction Power Supply Systemmentioning

confidence: 99%

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Reliability assessment of mechatronic systems considering multi covariates with system topology

Lin

Jia

Zhang

et al. 2021

Systems Engineering

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Reliability assessments of mechatronic systems, considering covariates, are becoming more complex not just as a result of the integration of more diverse technologies into such systems but also because of increasing complexities in system topology; but traditional reliability assessment models with covariates tend to ignore the influence of system topology. This paper addresses such an exclusion and proposes a novel methodology dedicated to the analysis and quantification of system reliability using system topology and multiple covariates. There are essentially two new aspects contributing to the overall methodology. Firstly, using network theory, the system topology is abstracted as a network; in which network nodes represent a mechatronic system's minimum maintenance units, and the connections between them are regarded as edges. Secondly, the resultant topological network is combined with the inherent properties of the minimum maintenance units to construct the system baseline hazard function and considering the associated multi covariates from the perspective of failure propagation to provide a foundation for assessing system reliability. To validate the proposed methodology, by way of a case study, it was applied to the reliability assessment of a traction power supply system for a high-speed train. The results, compared with three other assessment approaches, suggest that the proposed methodology provides for significantly more accurate assessments while requiring less computational resources. Furthermore, it can be flexibly extended to many other mechatronic systems.

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Section: System Reliability Assessment Of Traction Power Supply Systemmentioning

confidence: 86%

Section: F I G U R Ementioning

confidence: 99%

Section: Connectionsmentioning

confidence: 99%

Section: System Reliability Assessment Of Traction Power Supply Systemmentioning

confidence: 99%

See 2 more Smart Citations

Reliability assessment of mechatronic systems considering multi covariates with system topology

Lin

Jia

Zhang

et al. 2021

Systems Engineering

Self Cite

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show abstract

“…The system topology could be described as a network based on network theory. For example, in accord with work by Lin et al [4], [33], [37], a network modeling method is proposed based on the coupling relationships between components (i.e., mechanical connections, electrical connections and informational connections).…”

Section: Introductionmentioning

confidence: 99%

A New Function-Topology-Based Method for Assessing Passive Safety of Mechatronics Systems

et al. 2020

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Various safety assessment models for predicting the future state of systems based on online monitoring data have been proposed. However, the complexity and interdependencies of mechatronics systems make it improbable to predict and prevent all possible failures/faults. Thus, it is also vital to assess the passive safety of mechatronics systems after a small or local fault occurs in order to make up for the shortcomings of online safety assessment. Hence, this paper proposes a passive safety assessment framework for a holistic system, according to the core chain of events related to component malfunction. The main contributions of this paper include three aspects. First, a component risk coefficient is proposed to more comprehensively reflect the risk degree of the component through analysis of a large number of fault data. Second, the fault propagation mechanism is explored to decrease the subjective effect based on the system topology and fault data. Third, a mapping function between system risk and system safety level is constructed; this function can provide support for management and maintenance personnel. A practical example of the bogie system for a high-speed train is examined to demonstrate the implementation and effectiveness and illustrate a potential application of the proposed passive safety method for assessing mechatronics system safety.

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Identifying Critical Component Set of High-Speed Train System Based on Topological Integrated Importance Analysis

Zhang

Jia

Wang

et al. 2020

Lecture Notes in Electrical Engineering

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Intuitionistic Mechanism for weak components identification method of complex electromechanical system

Cited by 6 publications

References 40 publications

Reliability assessment of mechatronic systems considering multi covariates with system topology

Reliability assessment of mechatronic systems considering multi covariates with system topology

A New Function-Topology-Based Method for Assessing Passive Safety of Mechatronics Systems

Identifying Critical Component Set of High-Speed Train System Based on Topological Integrated Importance Analysis

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