Dynamic diagnostic strategy based on reliability analysis and distance-based VIKOR with heterogeneous information

Li, Jing; Duan, Rongxing

doi:10.17531/ein.2018.4.12

Cited by 5 publications

(7 citation statements)

References 21 publications

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“…From the ranking results given in Table 2, it can be observed that all methods show X2 is the worst choice. In addition, the ranking results obtained by our proposed method are completely consistent with [46], [28], which shows that the method proposed in this paper is effective. The inconsistent results between different methods can be understood by the different expressions of information and different weighting methods.…”

Section: F An Illustrative Examplesupporting

confidence: 77%

“…To illustrate the effectiveness of the proposed multi-source heterogeneous fault diagnosis method, some existing methods are compared with our proposed method in this paper, which include Ref. [28], [46], [47]. We take the example shown in [46] so that we can compare the proposed method with existing methods.…”

Section: F An Illustrative Examplementioning

confidence: 99%

“…For comparison, the interval numbers under the attributes C1 and C2 need to be converted into intuitionistic fuzzy numbers in [47]. Similarly, the intuitionistic fuzzy numbers under the attribute C3 need to be converted into interval numbers in [28], [47]. Table 2 exhibits the order results of the proposed method and existing methods.…”

Section: F An Illustrative Examplementioning

confidence: 99%

“…Moreover, the normalization of multi-source heterogeneous matrix is different from that of the single attribute matrix, which is also the reason for the deviation of the results. The methods in [46], [47], [28] proposed essentially can only process single data type. However, our proposed method can deal with the multi-source heterogeneous information and can more accurately describe the uncertainty of complex systems.…”

Section: F An Illustrative Examplementioning

confidence: 99%

“…To some extent, this approach can improve the diagnostic efficiency, but the diagnostic decision tables belong to the same type of data (that is, the interval number) and cannot process heterogeneous information. To this end, a dynamic diagnostic strategy is proposed based on reliability analysis and an improved VIKOR algorithm [28], [29]. This method can deal with epistemic uncertainty and heterogeneous information.…”

Section: Introductionmentioning

confidence: 99%

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Fault Diagnosis Strategy for Complex Systems Based on Multi-Source Heterogeneous Information Under Epistemic Uncertainty

Huang

Duan

et al. 2020

IEEE Access

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Technological innovation in modern systems has significantly improved their performance. However, fault characteristics such as epistemic uncertainty and dynamic failure modes often occur when these systems break down, which greatly raises some new challenges in fault diagnosis. A new fault diagnosis strategy for complex systems is presented based on multi-source heterogeneous information considering epistemic uncertainty in this paper. Specifically, in view of the epistemic uncertainty, the failure distribution parameters of basic events are described with interval numbers and test cost of these events are evaluated using domain experts and intuitionistic fuzzy linguistic set; Aiming at the problem of dynamic failure modes, a dynamic fault tree (DFT) is used to establish the dynamic failure model and is converted into a dynamic evidential network to calculate some reliability parameters; Furthermore, a diagnostic decision table is constructed based on multi-attribute heterogeneous information such as test cost and some reliability results; Finally, a novel fault diagnosis strategy is designed based on distance-based VIKOR algorithm, which can provide some decision support for fault diagnosis and locate the fault as quickly as possible.

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Section: F An Illustrative Examplesupporting

confidence: 77%

Section: F An Illustrative Examplementioning

confidence: 99%

Section: F An Illustrative Examplementioning

confidence: 99%

Section: F An Illustrative Examplementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fault Diagnosis Strategy for Complex Systems Based on Multi-Source Heterogeneous Information Under Epistemic Uncertainty

Huang

Duan

et al. 2020

IEEE Access

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Reliability evaluation for vhf and uhf bands under different scenarios via propagation loss model

Li¹,

Huang²,

Li³

et al. 2019

Eksploatacja i Niezawodność – Maintenance and Reliability

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Reliability evaluation foR vhf and uhf bands undeR diffeRent scenaRios via pRopagation loss model ocena niezawodności pRopagacji fal Radiowych pasm vhf i uhf w Różnych waRunkach teRenowych z wykoRzystaniem modelu utRaty mocy sygnałuThe significant effect of path loss on the reliability of very high frequency (VHF) and ultrahigh frequency (UHF) bands propagation has drawn much attention. Previous works mainly focus on the reliability evaluation for infrastructures and basic equipment, however, its propagation reliability has not been taken into full consideration. This paper proposes a new method for evaluating the reliability of the wireless communication based on the analysis of the traditional outdoor wave propagation loss models. In the reliability evaluation of the radio communication, we firstly consider the transmission frequency, the antenna height, the cell type and the communication distance. Then, we use a lognormal distribution to fit the random distribution curve of the communication distance so that the relationship between the path loss value and the reliability can be analysed. We further derive the probability distribution function (PDF) and the cumulative distribution function (CDF) of the path loss value from different antenna correction factors, cell type correction factors and terrain correction factors. Finally, we calculate the radio communication reliability values at different frequencies based on the threshold of the propagation loss value. Compared with the reliability degree only considering the communication distance threshold, the influence of environmental factors on the reliability of the VHF and the UHF radio propagation has been analysed.

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A numerical simulation method for a repairable dynamic fault tree

Xu¹,

Guo²,

Wang³

et al. 2021

Eksploatacja i Niezawodność – Maintenance and Reliability

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Dynamic fault trees are important tools for modeling systems with sequence failure behaviors. The Markov chain state space method is the only analytical approach for a repairable dynamic fault tree (DFT). However, this method suffers from state space explosion, and is not suitable for analyzing a large scale repairable DFT. Furthermore, the Markov chain state space method requires the components’ time-to-failure to follow exponential distributions, which limits its application. In this study, motivated to efficiently analyze a repairable DFT, a Monte Carlo simulation method based on the coupling of minimal cut sequence set (MCSS) and its sequential failure region (SFR) is proposed. To validate the proposed method, a numerical case was studied. The results demonstrated that our proposed approach was more efficient than other methods and applicable for repairable DFTs with arbitrary time-to-failure distributed components. In contrast to the Markov chain state space method, the proposed method is straightforward, simple and efficient.

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Dynamic diagnostic strategy based on reliability analysis and distance-based VIKOR with heterogeneous information

Cited by 5 publications

References 21 publications

Fault Diagnosis Strategy for Complex Systems Based on Multi-Source Heterogeneous Information Under Epistemic Uncertainty

Fault Diagnosis Strategy for Complex Systems Based on Multi-Source Heterogeneous Information Under Epistemic Uncertainty

Reliability evaluation for vhf and uhf bands under different scenarios via propagation loss model

A numerical simulation method for a repairable dynamic fault tree

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