Reliability Analysis of Tape Winding Hydraulic System Based on Continuous-Time T-S Dynamic Fault Tree

Sun, Hong-Mei; Xu, Lipeng; Jiang, Guang-Jun; Chen, Hongxia

doi:10.1155/2022/8499605

Cited by 5 publications

(3 citation statements)

References 15 publications

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“…, and so on. Equation (17) suggests that when the series system is consistent with the copula function correlation the fault probability distribution function F c (t) is expressed as:…”

Section: Failure Correlation Reliability Model With a Series Systemmentioning

confidence: 99%

“…Furthermore, Yao et al [3] proposed a continuous-time T-S DFTA method, which is capable of solving the calculation error problem of discrete-time T-S DFTA and indicating the changing trend of system failure prob-ability. Taking the tape winding hydraulic system as an example, Sun et al [17] applied the continuoustime T-S DFTA algorithm to the quantitative analysis of dynamic system reliability.…”

Section: Introductionmentioning

confidence: 99%

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Multi-dimensional T-S dynamic fault tree analysis method involving failure correlation

Chen,

Liu,

Yao

et al. 2023

IFS

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The lack of effective failure correlation analysis is one main reason for the gap between the reliability models and the actual complex systems with mixed static and dynamic characteristics. Takagi and Sugeno (T-S) dynamic fault tree is one powerful tool to analyze the static and dynamic failure logic relationship but it assumes the failure probability of the event is independent. Therefore, this paper proposes a multi-dimensional T-S dynamic fault tree analysis method involving failure correlation. The method integrates the failure probability distribution function of basic events with multi-factors and the multi-dimensional copula function, and the important measure of this method is also deduced. The reliability model expression for systems with failure correlations, both in series and in parallel, is discussed and verified. Compare the proposed method with the assumption that the probability of a failure event is independent. This method solves the problem of a large error when ignoring the failure correlation between parts and the degree of the correlation between variables can be characterized. The reliability analysis can be conducted on complex systems affected both by multi-factors and failure correlations. The proposed method is applied to the reliability analysis of a hydraulic height adjustment system and the correctness and superiority of the method are verified.

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“…, and so on. Equation (17) suggests that when the series system is consistent with the copula function correlation the fault probability distribution function F c (t) is expressed as:…”

Section: Failure Correlation Reliability Model With a Series Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-dimensional T-S dynamic fault tree analysis method involving failure correlation

Chen,

Liu,

Yao

et al. 2023

IFS

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show abstract

“…Haonan Jiang et al [10] established a polymorphic fuzzy fault tree for the high-voltage power battery system of a pure electric commercial vehicle based on the combination of polymorphic theory, fuzzy mathematical theory, group decision-making theory, and fault tree and carried out qualitative and quantitative analyses to determine the system's weak links. In [11], the dynamic reliability model of the hydraulic system is established by using the continuous-time T-S Dynamic fault tree to solve the fault rate of the system, and the results are compared with the traditional analysis method and the probability importance and key importance of the system unit are calculated.…”

Section: Background and Literature Reviewmentioning

confidence: 99%

Dynamic Reliability Assessment Method for a Pantograph System Based on a Multistate T-S Fault Tree, Dynamic Bayesian

Chen,

Wen,

Tian

et al. 2023

Applied Sciences

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The operational reliability of rail vehicle pantograph systems is evaluated by transforming T-S multistate fault trees into dynamic Bayesian networks (DBNs), which take into account system multistability, long-lasting operation, dynamic failure, and maintenance recovery. The T-S multistate fault tree structure is constructed by the content validity ratio and content validity index; the T-S gate rule expressing causal uncertainty is constructed by using fuzzy theory and dependent uncertain ordered weighted averaging expert scoring, and finally, the pantograph T-S multistate fault tree is transformed into a DBN model characterizing the dynamic interaction and time dependence of the system. The dynamic evolution laws of reliability of a pantograph system in maintenance and maintenance-free states over time are inferred, compared and analyzed. The results show that the system availability of a pantograph system decreases continuously during 720 days of operation. The system availability without maintenance decreases to 0.881, and the system availability with maintenance is 0.952. The reliability of a pantograph system can be effectively ensured with maintenance during the operation period; the sensitivity analysis is performed by changing the failure rate of the equipment to 120% or 80%; the fall indicator, the electrical control box, and the elevating bow motor are the weak links in the system, and the impact of fault escalation on the reliability of a pantograph system is analyzed. It is then verified that the system reliability can be further improved by using a preventive maintenance strategy, and the steady-state reliability can be gradually reached, which is about 0.9968, providing a reference for the maintenance of a pantograph system.

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A Review of Dynamic Fault Tree Analysis and Capacity Degradation for Complex Redundant Systems

Rubin,

2024

Quality & Reliability Eng

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In an effort to explore methods to improve overall system reliability, this systematic literature review (SLR) explores the current state of dynamic fault trees (DFTs) for complex, redundant systems that exhibit performance degradation over time. DFTs were first developed to manage and optimize redundant resources of computer system components, but have also been successfully used to manage redundant resources in aircraft and naval fuel distribution systems, transportation systems, industrial plants, computer networks, cardiac assist systems, and spacecraft systems. More recent DFT gates were added to identify, filter, and manage time‐dependent failures to minimize their impacts on the overall system performance and reliability, and have been applied to aircraft fault management systems, nuclear power plants, and alarm management systems. This SLR also explored the current state of technology for dynamically calculating not only the current capacity of system components, but also predicting their remaining useful life (RUL), remaining useful performance (RUP), and capacity degradation profiles. This is essential in understanding capacity degradation in the broader context of optimization of resources in complex, redundant systems. This SLR analysis revealed two gaps in the current technology and application of DFTs to complex systems. First, the usage of DFTs for failure management requires that the DFT is developed with a priori knowledge of specific failure modes, meaning that DFTs are inherently not scalable for new failures that are discovered. Second, although DFTs do address failure management, there are inherent limitations in the detection and application of partial failures or capacity degradation in the DFT infrastructure.

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Reliability Analysis of Tape Winding Hydraulic System Based on Continuous-Time T-S Dynamic Fault Tree

Cited by 5 publications

References 15 publications

Multi-dimensional T-S dynamic fault tree analysis method involving failure correlation

Multi-dimensional T-S dynamic fault tree analysis method involving failure correlation

Dynamic Reliability Assessment Method for a Pantograph System Based on a Multistate T-S Fault Tree, Dynamic Bayesian

A Review of Dynamic Fault Tree Analysis and Capacity Degradation for Complex Redundant Systems

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