Quantitative Risk Assessment for Autonomous Vehicles: Integrating Functional Resonance Analysis Method and Bayesian Network DOI
Chengwen Deng, Yufeng Li, Qi Liu

и другие.

Quality and Reliability Engineering International, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 24, 2024

ABSTRACT In autonomous vehicles (AVs), intricate functional‐level couplings exist among the components. Accidents can occur even when all functions are operating normally, as subtle performance variabilities in these aggregate through couplings, leading to functional resonance. The aim of this study is identify, analyze and quantitatively assess safety issues caused by complex interactions AVs propose appropriate risk management strategies improve vehicle safety. Commonly used modern methods assessment, such system‐theoretical process analysis accident mapping, struggle capture resonance lack quantitative analysis. To end, paper proposes a assessment method that integrates (FRAM) with Bayesian network (BN) reveal quantify risks within AVs. Initially, FRAM model constructed characterize function system, which subsequently aggregated into chains identify potential hazards. Then, develop BN for system risk. A case an automatic emergency braking (AEB) on open‐source conducted verify its effectiveness. results demonstrate proposed approach not only identifies but also effectively quantifies AEB system.

Язык: Английский

Research and verification on parameter solution of mixed shock model for common cause failure based on particle swarm algorithm DOI
Yinxiao Hu, Hongjuan Ge,

Pei He

и другие.

Quality and Reliability Engineering International, Год журнала: 2024, Номер 40(6), С. 3340 - 3351

Опубликована: Май 2, 2024

Abstract Mixed shock model is an explicit construction method of failure probability based on component independent failure, system nonfatal shock, and fatal which considers common cause (CCF) in redundant system. For aerospace systems, a modified mixed proposed, several components may fail independently simultaneously operation. In order to solve the issue that parameters cannot be solved directly data, parameter solving particle swarm optimization (PSO) algorithm proposed. Additionally, relationship between gradient change deduced, reduced‐order (RO) solution proposed improve efficiency solution. A fitness function relative error true accuracy multicomponent failure. The nonlinear inertia factor combined with studied dynamics. results different sequence PSO methods are compared, effectiveness RO verified. before after modification compared CCF verifies wide applicability model. show for its can significantly all also provide new theoretical basis quantitative analysis multiredundant

Язык: Английский

Процитировано

1
Incorporating failure mode and effects analysis into a novel framework for hydrogen production from solid waste gasification DOI
Hamidreza Seiti, AmirMohammad Larni-Fooeik,

Reza Ghasemi Pirbalouti

и другие.

International Journal of Hydrogen Energy, Год журнала: 2024, Номер 76, С. 263 - 280

Опубликована: Май 13, 2024

Язык: Английский

Процитировано

1
Generalized Similarity Measure for Multisensor Information Fusion via Dempster-Shafer Evidence Theory DOI Creative Commons
Zhe Liu, Ibrahim M. Hezam, Sukumar Letchmunan

и другие.

IEEE Access, Год журнала: 2024, Номер 12, С. 104629 - 104642

Опубликована: Янв. 1, 2024

Dempster-Shafer evidence theory (DSET) stands out as a mathematical model for handling imperfect data, garnering significant interest across various domains. However, notable limitation of DSET is Dempster's rule, which can lead to counterintuitive outcomes in cases highly conflicting evidence. To mitigate this issue, paper introduces novel reinforced belief logarithmic similarity measure ( $\mathcal {RBLSM}$ ), assesses discrepancies between the evidences by incorporating both and plausibility functions. exhibits several intriguing properties including boundedness, symmetry, non-degeneracy, making it robust tool analysis. Furthermore, we develop new multisensor information fusion method based on . The proposed uniquely integrates credibility weight volume weight, offering more comprehensive reflection reliability each effectiveness practicality -based are demonstrated through its applications target recognition pattern classification scenarios.

Язык: Английский

Процитировано

1
Measures of extended fractional Deng entropy and extropy with applications DOI Creative Commons

Nastaran Marzban Vaselabadi,

Saeid Tahmasebi, Ahmad Keshavarz

и другие.

Communications in Statistics - Simulation and Computation, Год журнала: 2024, Номер unknown, С. 1 - 21

Опубликована: Авг. 19, 2024

Recently, Zhang and Shang introduced modifications to the concept of fractional entropy proved some properties based on inverse Mittag-Leffler function (MLF). The Deng serves as a valuable measure in Dempster-Shafer evidence theory (DST) tackle uncertainty. In this study, we extend measure, introducing two distinct versions: Efd1α(m) Efd2α(m). We call new extended entropy, EFDEn. Additionally, apply similar approach extropy resulting EXfd1α(m) EXfd2α(m). extropy, EFDEx. These measures are complementary, leading provide deeper analysis known unknown information. Subsequently, conduct comparative these within DST framework. also propose decomposable an extension for Dempster–Shafer theory, which effectively decomposes entropy. Finally, delve into pattern recognition classification problem highlight importance measures.

Язык: Английский

Процитировано

1
Reliability analysis for continuous degrading systems subject to multi-level failure dependence DOI
Yingsai Cao,

Chen Lu

Quality Engineering, Год журнала: 2024, Номер unknown, С. 1 - 13

Опубликована: Апрель 22, 2024

This article explicitly models multi-level failure dependence existing in continuous degrading systems with multiple components. Dependence within the component level is specified as that arrived shocks increase vulnerability to inherent degradation. among components refers fact degradation of a particular can be accelerated by others. The Gamma process employed comprehensive framework for modeling above. A compound Poisson and normal distribution are both introduced describe stochastic characteristics random shocks. Procedures obtaining analytical solutions simulation results reliability analysis presented. At last, an illustrative example hydraulic system studied demonstrate effectiveness advantages proposed method.

Язык: Английский

Процитировано

0
A belief interval euclidean distance entropy of the mass function and its application in multi-sensor data fusion DOI

Fuxiao Zhang,

Zichong Chen, Rui Cai

и другие.

Applied Intelligence, Год журнала: 2024, Номер 54(17-18), С. 7545 - 7569

Опубликована: Июнь 8, 2024

Язык: Английский

Процитировано

0
A combination weighting method for debris flow risk assessment based on t-distribution and linear programming optimization algorithm DOI Creative Commons
Li Li,

Hanjie Lin,

Yue Qiang

и другие.

PLoS ONE, Год журнала: 2024, Номер 19(6), С. e0303698 - e0303698

Опубликована: Июнь 14, 2024

Debris flow risk assessment can provide some reference for debris prevention and control projects. In assessment, researchers often only focus on the impact of objective or subjective indicators. For this purpose, paper proposed a weight calculation method based t-distribution linear programming optimization algorithm (LPOA). Taking 72 mudslides in Beichuan County as an example, used analytic hierarchy process (AHP), entropy (EWM) variation coefficient (VCM) to obtain initial weights. Based weights, intervals with different confidence levels were obtained by t-distribution. Subsequently, final weights LOPA 90% interval. Finally, calculate score each flow, thus delineating level flow. The results showed that paper’s avoid overemphasizing importance particular indicator compared EWM VCM. contrast, VCM ignored effect frequency risk. flows mainly dominated moderate light risks. Of these, there 8 high flows, 24 medium 40 flows. excellent triggering conditions favorable formation high-risk Slightly are located both sides highways rivers, still posing minor threat County. fusion weighting effectively avoids limitations single calculating method. Through comparison data analysis, rationality is verified, which combination assessment.

Язык: Английский

Процитировано

0
A higher accuracy forest cover product of China by fusing heterogeneous forest-related datasets using Dempster-Shafer theory DOI
Xueli Peng, Guojin He, Tengfei Long

и другие.

International Journal of Digital Earth, Год журнала: 2024, Номер 17(1), С. 1 - 20

Опубликована: Июнь 25, 2024

Язык: Английский

Процитировано

0
A New “E-E” Paradigm to Construct Multi-BPAs Based Belief Jensen Divergence in the Evidence Theory DOI
Jiaxu Zhang, Shengchun Wang,

Juan Tan

и другие.

Information Sciences, Год журнала: 2024, Номер 680, С. 121153 - 121153

Опубликована: Июль 8, 2024

Язык: Английский

Процитировано

0
Negation of permutation mass function in random permutation sets theory for uncertain information modeling DOI Creative Commons
Yongchuan Tang, Rongfei Li,

He Guan

и другие.

Complex & Intelligent Systems, Год журнала: 2024, Номер 10(6), С. 7697 - 7709

Опубликована: Июль 30, 2024

Abstract Negation provides a novel perspective for the representation of information. However, current research seldom addresses issue negation within random permutation set theory. Based on concept belief reassignment, this paper proposes method obtaining mass function in The convergence proposed is verified, trends uncertainty and dissimilarity after each operation are investigated. Furthermore, introduces negation-based measure, designs multi-source information fusion approach based measure. Numerical examples used to verify rationality method.

Язык: Английский

Процитировано

0