Entropy based inverse design of aircraft mission success space in system-of-systems confrontation

Gao, Yuan; Tian, Yajie; Liu, Hu; Hu, Jianwen

doi:10.1016/j.cja.2021.04.003

Cited by 4 publications

(4 citation statements)

References 21 publications

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“…Calculate the grey correlation coefficient ξ ij * that represents the level of correlation between risk reference sequence C 0 and the risk spectrum sequence of the i-th risk-related parameter C in , as shown in Equation ( 19) [31],…”

Section: Flight Risk Comprehensive Assessmentmentioning

confidence: 99%

“…Moreover, the grey correlation algorithm is used to calculate the dynamic weight coefficient for improving safety evaluation. The evaluation method based on the entropy weight and the grey correlation has been widely used in reliability evaluation of the power system [30], design of aircraft mission success space [31], risk evaluation of the project [32], and financial investment [33]. Consequently, the evalua-tion method has advantages of stronger objectivity, better adaptability, and higher accuracy compared with the traditional fixed-weight method.…”

Section: Introductionmentioning

confidence: 99%

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Risk Quantification and Visualization Method for Loss-of-Control Scenarios in Flight

Wang

Pei

et al. 2023

Aerospace

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This paper proposes a flight risk analysis method that combines risk assessment and visual deduction to study the causes of flight accidents, specifically the loss of control caused by failure factors. The goal is to explore the impact of these failure factors on loss-of-control events and illustrate the risk evolution under different scenarios in a clear and intuitive manner. To achieve this, the paper develops a failure scenario tree to guide flight simulations under different loss-of-control scenarios. The next step involves developing a multi-parameters risk assessment method that can quantify flight risk at each time step of the flight simulation. This assessment method uses entropy weight and a grey correlation algorithm to assign variable weights to the different parameters. Finally, the paper presents the visual deduction of the risk evolution process under different loss-of-control scenarios using a risk tree that concisely represents the time-series risk assessment results and failure logical chains. Taking three common failure factors (actuator failure, engine failure, and wing icing) as cases, the paper designs 25 different loss-of-control scenarios to demonstrate the flight risk analysis method. By comparing the risk evolution process under different loss-of-control scenarios, the paper explores the impact of the failure factors on flight safety. The analysis results indicate that this method combines risk analysis from both individual and global perspectives, enabling effective analysis of risk evolution in loss-of-control events.

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Section: Flight Risk Comprehensive Assessmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Risk Quantification and Visualization Method for Loss-of-Control Scenarios in Flight

Wang

Pei

et al. 2023

Aerospace

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show abstract

“…is the evaluation model. It is worth noting that the evaluation model function can be assumed to be monotonic [42,43] in the most evaluation practices.…”

Section: Construction Of Evaluation Frameworkmentioning

confidence: 99%

Uncertainty Entropy-Based Exploratory Evaluation Method and Its Applications on Missile Effectiveness Evaluation

Hu¹,

Wang²,

Gao

et al. 2023

J. of Syst. Eng. Electron.

Self Cite

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Some attributes are uncertain for evaluation work because of incomplete or limited information and knowledge. It leads to uncertainty in evaluation results. To that end, an evaluation method, uncertainty entropy-based exploratory evaluation (UEEE), is proposed to guide the evaluation activities, which can iteratively and gradually reduce uncertainty in evaluation results. Uncertainty entropy (UE) is proposed to measure the extent of uncertainty. First, the belief degree distributions are assumed to characterize the uncertainty in attributes. Then the belief degree distribution of the evaluation result can be calculated by using uncertainty theory. The obtained result is then checked based on UE to see if it could meet the requirements of decision-making. If its uncertainty level is high, more information needs to be introduced to reduce uncertainty. An algorithm based on the UE is proposed to find which attribute can mostly affect the uncertainty in results. Thus, efforts can be invested in key attribute(s), and the evaluation results can be updated accordingly. This update should be repeated until the evaluation result meets the requirements. Finally, as a case study, the effectiveness of ballistic missiles with uncertain attributes is evaluated by UEEE. The evaluation results show that the target is believed to be destroyed.

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“…Rotor-bearing systems play an important role in modern production and manufacturing fields [1][2][3][4]. Timely maintenance strategies can guarantee a long service life for a rotor-bearing system, enhance its economic benefits and reduce unplanned * Author to whom any correspondence should be addressed.…”

Section: Introductionmentioning

confidence: 99%

Bi-filter multiscale-diversity-entropy-based weak feature extraction for a rotor-bearing system

Wang²,

Zheng³

et al. 2023

Meas. Sci. Technol.

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Multiscale-based entropy methods have proven to be a promising tool for extracting fault information due to their high feature extraction ability and easy application. Despite multiscale analysis showing great potential in extracting fault characteristics, it has some drawbacks, such as cutting the data length and neglecting high frequency information. This paper proposes a bi-filter multiscale diversity entropy (BMDE) to filter comprehensive fault information and deal with the data length problem. First, the low-frequency information is filtered out by moving average in multi-low procedure and the high-frequency information is filtered out by adjacent subtracting in multi-high procedure. Second, the modified coarse-grained process is introduced to overcome the data length problem. The validity of BMDE method is evaluated using both simulating signals and experimental measurements. Results demonstrate that the proposed method offers the optimal feature extraction capability with the highest diagnostic accuracy compared with the other four traditional entropy-based diagnosis methods.

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Entropy based inverse design of aircraft mission success space in system-of-systems confrontation

Cited by 4 publications

References 21 publications

Risk Quantification and Visualization Method for Loss-of-Control Scenarios in Flight

Risk Quantification and Visualization Method for Loss-of-Control Scenarios in Flight

Uncertainty Entropy-Based Exploratory Evaluation Method and Its Applications on Missile Effectiveness Evaluation

Bi-filter multiscale-diversity-entropy-based weak feature extraction for a rotor-bearing system

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