A novel structural safety assessment method of large liquid tank based on the belief rule base and finite element method

Chen, Yuan; Zhou, Zhijie; Yang, Lihao; Hu, Guanyu; Han, Xuefei; Tang, Shuaiwen

doi:10.1177/1748006x211021690

Cited by 8 publications

(3 citation statements)

References 43 publications

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“…In this paper, the P-CMA-ES (projection covariance matrix adaptive evolution strategy) [20][21][22][23] is used as the global optimization algorithm. Real-time performance is usually required to evaluate the health of lithium-ion batteries, especially under dynamic operating conditions.…”

Section: Model Optimization Strategymentioning

confidence: 99%

A Lithium Battery Health Evaluation Method Based on Considering Disturbance Belief Rule Base

Zhang,

Gong,

et al. 2024

Batteries

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Lithium-ion batteries are widely used in modern society as important energy storage devices due to their high energy density, rechargeable performance, and light weight. However, the capacity and performance of lithium-ion batteries gradually degrade with the number of charge or discharge cycles and environmental conditions, which can affect the reliability and lifetime of the batteries, so it is necessary to accurately evaluate their health. The belief rule base (BRB) model is an evaluation model constructed based on rules that can handle uncertainties in the operation of lithium-ion batteries. However, lithium-ion batteries may be affected by disturbances from internal or external sources during operation, which may affect the evaluation results. To prevent this problem, this paper proposes a disturbance-considering BRB modeling approach that considers the possible effects of disturbances on the battery in the operating environment and quantifies the disturbance-considering capability of the assessment model in combination with expert knowledge. Second, robustness and interpretability constraints are added in this paper, and an improved optimization algorithm is constructed that maintains or possibly improves the resistance of the model to disturbance. Finally, using the lithium-ion batteries provided by the National Aeronautics and Space Administration (NASA) Prediction Centre of Excellence and the University of Maryland as a case study, this paper verifies that the proposed modeling approach is capable of constructing robust models and demonstrates the effectiveness of the improved optimization algorithm.

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Section: Model Optimization Strategymentioning

confidence: 99%

A Lithium Battery Health Evaluation Method Based on Considering Disturbance Belief Rule Base

Zhang,

Gong,

et al. 2024

Batteries

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“…In recent years, BRB has obtained many research results in the field of fault diagnosis and safety assessment of large industrial equipment [19][20][21]. The authors in [22] constructed a safety assessment model for an LLT based on the BRB and finite element method (FEM-BRB). The authors in [23] and [24] performed fault diagnosis and fault prediction for wireless sensor networks (WSN) by using BRB, which not only accurately diagnose faults in the WSN but also improved the accuracy of sensor data fusion.…”

Section: Introductionmentioning

confidence: 99%

A new belief rule base based distributed online fault diagnosis method for multi‐agent systems

Wang

Yang

et al. 2023

Asian Journal of Control

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In this paper, based on belief rule base (BRB), we studied the distributed online fault diagnosis problem of multi‐agent systems (MASs). To begin with, considering the distributed nature of MASs, by using the relative information between an agent and its neighbors, a distributed online fault diagnosis model is constructed. Next, for the results of fault diagnosis, when an agent doesn't get enough relative information to diagnose the fault, the fault diagnosis result may be inaccurate, and if there exist too many neighbors of an agent, the number of attributes of the proposed BRB fault diagnosis model will be too large, which will lead to large computation. To improve the performance of the proposed distributed online fault diagnosis model, a real‐time communication topology switching strategy was proposed. Under the constructed distributed fault diagnosis model, the real‐time performance and the accuracy of fault diagnosis for agents can be guaranteed simultaneously. Finally, a simulation is given to validate the effectiveness and advancement of the distributed online fault diagnosis method proposed in this paper.

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“…Chen et al 9 propose a novel safety assessment method for the structural safety assessment of large liquid tanks, where the belief rule base and finite element method are used. The finite element method is borrowed to in the construction of the BRB model, which integrates expert knowledge and industry standards for the case when expert experience is lacking.…”

mentioning

confidence: 99%

Guest Editorial: Reliability analysis for infrastructure systems

Wu¹,

Peng²,

Shafiee³

2022

Proceedings of the Institution of Mechanical Engineers, Part O:

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A novel structural safety assessment method of large liquid tank based on the belief rule base and finite element method

Cited by 8 publications

References 43 publications

A Lithium Battery Health Evaluation Method Based on Considering Disturbance Belief Rule Base

A Lithium Battery Health Evaluation Method Based on Considering Disturbance Belief Rule Base

A new belief rule base based distributed online fault diagnosis method for multi‐agent systems

Guest Editorial: Reliability analysis for infrastructure systems

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