Rapid assessment of system-of-systems(SoS) mission reliability based on Markov chains

Huang, Yun; Pan, Xing; Hu, Lunhu

doi:10.1109/icrse.2015.7366452

Cited by 10 publications

(4 citation statements)

References 7 publications

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“…Markov Chain (MC) is a modeling technique that represents the transition or evolution of failures over time. While MC modeling is valuable for analyzing failure trends in the entire system and fault transitions in multiple systems, it can be challenging to reflect the complexity of subsystems in system-of-systems and the operational characteristics of the single system [44]. Other reliability analysis techniques include PCA, PSA, and FTA.…”

Section: B Literature Reviewmentioning

confidence: 99%

Reliability-Focused Analysis of the Performance and Characteristics According to the Secondary Circuit Structure of the Transformer in the Isolated DC–DC Full-Bridge Converter

Cha,

Jo,

Lim

et al. 2024

IEEE Access

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This paper analyzes the characteristics and performance of an isolated DC-DC full-bridge converter's transformer secondary circuit structure, focusing on reliability. The circuit structure of the primary of transformer of the isolated DC-DC full-bridge converter is the same, and the rectifier stage of the secondary of transformer compares the full-bridge, current-doubler, and center-tap methods. We supplement the validity of reliability analysis by applying the most straightforward failure rate analyses PCA (Part Count Failure Analysis), PSA (Parts Stress Analysis), which analyzes by adding environmental factors, and FTA (Fault Tree Analysis), which considers the risk of converter operation. For comparison, the input-output specifications and power capacity are set the same, the voltage margin of the component is selected to be 1.5 times the rated voltage, and the comparison is made under 65 [°C] operating conditions. We also analyze the relationship between price and efficiency according to the voltage margin of components that affect reliability. This paper provides converter designers with essential guidelines for designing high-reliability converters by considering and analyzing all circuit components and structures that can affect reliability.INDEX TERMS Isolated DC-DC full-bridge converter, part count analysis (PCA), part stress analysis (PSA), fault tree analysis (FTA), cost model analysis (CMA)

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Section: B Literature Reviewmentioning

confidence: 99%

Reliability-Focused Analysis of the Performance and Characteristics According to the Secondary Circuit Structure of the Transformer in the Isolated DC–DC Full-Bridge Converter

Cha,

Jo,

Lim

et al. 2024

IEEE Access

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“…These transitions between states are the ones that generate the analysis variables for studying the reliability, where λ represents the failure rate of a system as a transition from a service state to a failure state, and µ describes the restoration rate as a transition from a failure state to a service state. Note that µ is the inverse of the repair time of a failure (µ = 1/𝑟), where 𝑟 is the time during which the system is being repaired [14]. From this analysis, it is possible to determine the steady state (𝑡 = ∞) probability for each state of the Markov chain (Service Probability or Failure Probability), as shown in Eq.…”

Section: Techniques For Counting Failure Frequency and Durationmentioning

confidence: 99%

Optimal Location of Reclosers in Electrical Distribution Systems Considering Multicriteria Decision Through the Generation of Scenarios Using the Montecarlo Method

et al. 2023

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This work presents a novel methodology for the optimal location of reclosers in electric distribution systems. The proposal uses a multicriteria analysis to evaluate the reliability indicators for this level 3 (distribution) by generating scenarios from pseudo-random variables. The reliability indicators considered in the study are the System Average Interruption Frequency Index (SAIFI), System Average Interruption Duration Index (SAIDI), Customer Average Interruption Duration Index (CAIDI), and Average Energy Not Supplied (AENS). It is employed a deterministic random generation in a defined range associated with each analysis variable (failure rate by elements and loads, failure duration, number of customers per load point, mean power consumed at each load point, etc.) The reliability indicators (criteria) are calculated for every possible location of a recloser in the candidate primary sections, thus obtaining the decision matrix, normalized and weighted by the CRITIC method to find the optimal location according to a minimum criterion. This analysis is repeated N times through the generation of scenarios using the Montecarlo method, establishing the probability of occurrence of each winning alternative and choosing the final optimal location of the first recloser within the distribution system. The methodology also proposes the switching coordination repeating the previously described analysis for locating a second recloser considering that the first was already a winning alternative within the generation of "many" scenarios. The scope of the proposed methodology is the number of reclosers that it is desired to analyze considering cost constraints and is general for any distribution system. The analysis is carried out with comprehensive programming in the Matlab software environment. The results successfully respond to the maneuver and switching tests with the joint criterion of minimizing all reliability indicators for level 3 (distribution). With this proposal, knowledge gaps in reliability studies are solved. The absence of data is completed with generations of pseudo-random variables, and the optimal location of the reclosers responds to all reliability criteria in distribution with weighting alternatives. The novel proposed methodology is validated with an exhaustive search analysis where all possible single or multiple reconnection scenarios are analyzed. The winning location alternative found coincides with the one determined by the proposed methodology in more than 90% of the generated random scenarios.

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“…He et al [18] put forward a mission reliability evaluation for fuzzy multi-state manufacturing systems based on an extended SFN, which comprehensively analyzed task execution, machine degradation, and quality state. Liang et al [19] offered three reliability indexes: standard entropy of rank distribution, all-terminal reliability, and standard natural connectivity for a multi-autonomous underwater vehicle by assessing topological structure and underwater acoustic communication. Huang et al [20] established an SoS mission reliability model based on the Markov chain by considering the relationship between SoS capabilities and mission reliability.…”

Section: Introductionmentioning

confidence: 99%

Mission reliability modeling and evaluation for reconfigurable unmanned weapon system-of-systems based on effective operation loop

Chen

Zhou

Zhang

et al. 2023

J. of Syst. Eng. Electron.

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The concept of unmanned weapon system-of-systems (UWSoS) involves a collection of various unmanned systems to achieve or accomplish a specific goal or mission. The mission reliability of UWSoS is represented by its ability to finish a required mission above the baselines of a given mission. However, issues with heterogeneity, cooperation between systems, and the emergence of UWSoS cannot be effectively solved by traditional system reliability methods. This study proposes an effective operation-loop-based mission reliability evaluation method for UWSoS by analyzing dynamic reconfiguration. First, we present a new connotation of an effective operation loop by considering the allocation of operational entities and physical resource constraints. Then, we propose an effective operationloop-based mission reliability model for a heterogeneous UWSoS according to the mission baseline. Moreover, a mission reliability evaluation algorithm is proposed under random external shocks and topology reconfiguration, revealing the evolution law of the effective operation loop and mission reliability. Finally, a typical 60-unmanned-aerial-vehicle-swarm is taken as an example to demonstrate the proposed models and methods. The mission reliability is achieved by considering external shocks, which can serve as a reference for evaluating and improving the effectiveness of UWSoS.

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Rapid assessment of system-of-systems(SoS) mission reliability based on Markov chains

Cited by 10 publications

References 7 publications

Reliability-Focused Analysis of the Performance and Characteristics According to the Secondary Circuit Structure of the Transformer in the Isolated DC–DC Full-Bridge Converter

Reliability-Focused Analysis of the Performance and Characteristics According to the Secondary Circuit Structure of the Transformer in the Isolated DC–DC Full-Bridge Converter

Optimal Location of Reclosers in Electrical Distribution Systems Considering Multicriteria Decision Through the Generation of Scenarios Using the Montecarlo Method

Mission reliability modeling and evaluation for reconfigurable unmanned weapon system-of-systems based on effective operation loop

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