A safety assessment model based on belief rule base with new optimization method

The structural safety assessment of large liquid tanks (LLT) has attracted an extensive attention. As a typical gray box model, the belief rule base (BRB) model can handle qualitative information and quantitative data simultaneously, which is a suitable modeling tool for structural safety assessment. However, it is difficult to establish and train the BRB model when there is a lack of expert experience and fault samples of LLT. Therefore, a novel safety assessment model for LLT based on BRB and finite element method (FEM-BRB) is proposed in this paper. The FEM is introduced to construct the BRB model by combining expert knowledge and industry standards for the first time, which can effectively compensate for the lack of expert experience. The fault samples are generated in the mechanism simulation model under different working conditions. Based on the fault samples generated by the FEM and historical samples, the projection covariance matrix adaption evolution strategy (P-CMA-ES) optimization algorithm is then used to train the model, which further improves the structural safety assessment accuracy when lacking fault samples. A case study of three actual oil tanks in a coastal port is conducted to illustrate the effectiveness and advantage of the developed structural safety assessment method.

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Aeronautical relay health state assessment model based on belief rule base with attribute reliability

Knowledge-Based Systems ◽

10.1016/j.knosys.2020.105869 ◽

2020 ◽

Vol 197 ◽

pp. 105869 ◽

Cited By ~ 1

Author(s):

Zhijie Zhou ◽

Zhichao Feng ◽

Changhua Hu ◽

Guanyu Hu ◽

Wei He ◽

...

Keyword(s):

State Assessment ◽

Assessment Model ◽

Rule Base ◽

Health State ◽

Model Based ◽

Belief Rule Base

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A new safety assessment model for complex system based on the conditional generalized minimum variance and the belief rule base

Safety Science ◽

10.1016/j.ssci.2016.11.011 ◽

2017 ◽

Vol 93 ◽

pp. 108-120 ◽

Cited By ~ 49

Author(s):

Gailing Li ◽

Zhijie Zhou ◽

Changhua Hu ◽

Leilei Chang ◽

Zhiguo Zhou ◽

...

Keyword(s):

Complex System ◽

Safety Assessment ◽

Minimum Variance ◽

Assessment Model ◽

Rule Base ◽

Belief Rule Base

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Challenges and Developments in Navigational Risk Assessment With Large Uncertainty

Volume 4A: Structures, Safety and Reliability ◽

10.1115/omae2014-23411 ◽

2014 ◽

Cited By ~ 3

Author(s):

Xinping Yan ◽

Jinfen Zhang ◽

Di Zhang ◽

Carlos Guedes Soares

Keyword(s):

Risk Assessment ◽

Safety Assessment ◽

Oil Spills ◽

Rule Base ◽

Event Tree ◽

Event Tree Analysis ◽

General Application ◽

The Past ◽

Formal Safety Assessment ◽

Belief Rule Base

Concerns have been raised to navigational safety worldwide because of the increasing throughput and the passing ships during the past decades while maritime accidents such as collisions, groundings, overturns, oil-spills and fires have occurred, causing serious consequences. Formal Safety Assessment (FSA) has been acknowledged to be a framework widely used in maritime risk assessment. Under this framework, this paper discusses certain existing challenges when an effective safety assessment is carried out under a variety of uncertainties. Some theories and methodologies are proposed to overcome the present challenges, e.g., Fault/Event Tree Analysis (FTA/ETA), Evidential Reasoning (ER), Bayesian Belief Network (BBN) and Belief Rule Base (BRB). Subsequently, three typical case studies that have been carried out in the Yangtze River are introduced to illustrate the general application of those approaches. These examples aim to demonstrate how advanced methodologies can facilitate navigational risk assessment under high uncertainties.

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Disjunctive Belief Rule Base Optimization by Ant Colony Optimization for Railway Transportation Safety Assessment

2019 Chinese Control And Decision Conference (CCDC) ◽

10.1109/ccdc.2019.8833179 ◽

2019 ◽

Author(s):

Wei Zhu ◽

Ping-Zhi Hou ◽

Lei-lei Chang ◽

Xiao-bin Xu

Keyword(s):

Ant Colony Optimization ◽

Safety Assessment ◽

Ant Colony ◽

Transportation Safety ◽

Rule Base ◽

Railway Transportation ◽

Belief Rule Base

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Hybrid belief rule base for regional railway safety assessment with data and knowledge under uncertainty

Information Sciences ◽

10.1016/j.ins.2019.12.035 ◽

2020 ◽

Vol 518 ◽

pp. 376-395 ◽

Cited By ~ 4

Author(s):

Leilei Chang ◽

Wei Dong ◽

Jianbo Yang ◽

Xinya Sun ◽

Xiaobin Xu ◽

...

Keyword(s):

Safety Assessment ◽

Rule Base ◽

Belief Rule Base ◽

Railway Safety

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Reliability Assessment Model for Industrial Control System Based on Belief Rule Base

International Journal of Computers Communications & Control ◽

10.15837/ijccc.2019.3.3548 ◽

2019 ◽

Vol 14 (3) ◽

pp. 419-436 ◽

Cited By ~ 3

Author(s):

Yuhe Wang ◽

Peili Qiao ◽

Zhiyong Luo ◽

Guanglu Sun ◽

Guangze Wang

Keyword(s):

Control System ◽

Reliability Assessment ◽

Quantitative Information ◽

Assessment Method ◽

Assessment Model ◽

Rule Base ◽

Industrial Control System ◽

Industrial Control ◽

Proposed Model ◽

Belief Rule Base

This paper establishes a novel reliability assessment method for industrial control system (ICS). Firstly, the qualitative and quantitative information were integrated by evidential reasoning(ER) rule. Then, an ICS reliability assessment model was constructed based on belief rule base (BRB). In this way, both expert experience and historical data were fully utilized in the assessment. The model consists of two parts, a fault assessment model and a security assessment model. In addition, the initial parameters were optimized by covariance matrix adaptation evolution strategy (CMA-ES) algorithm, making the proposed model in line with the actual situation. Finally, the proposed model was compared with two other popular prediction methods through case study. The results show that the proposed method is reliable, efficient and accurate, laying a solid basis for reliability assessment of complex ICSs.

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