Correlation-oriented complex system structural risk assessment using Copula and belief rule base

2021 ◽  
Vol 564 ◽  
pp. 220-236
Author(s):  
Leilei Chang ◽  
Limao Zhang ◽  
Xiaojian Xu
Keyword(s):  
Complex System ◽  
Risk Assessment ◽  
Rule Base ◽  
Belief Rule Base ◽  
Structural Risk

A new approximate belief rule base expert system for complex system modelling

2021 ◽  
pp. 113558
Author(s):  
You Cao ◽  
Zhijie Zhou ◽  
Changhua Hu ◽  
Shuaiwen Tang ◽  
Jie Wang
Keyword(s):  
Complex System ◽  
Expert System ◽  
Rule Base ◽  
System Modelling ◽  
Belief Rule Base

Challenges and Developments in Navigational Risk Assessment With Large Uncertainty

2014 ◽  
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.

A New Multilayer Belief Rule Base Model for Complex System Modeling

2021 ◽  
pp. 1-12
Author(s):  
You Cao ◽  
Zhijie Zhou ◽  
Guanyu Hu ◽  
Changhua Hu ◽  
Shuaiwen Tang ◽  
...  
Keyword(s):  
Complex System ◽  
System Modeling ◽  
Rule Base ◽  
Belief Rule Base ◽  
Complex System Modeling

Akaike Information Criterion-based conjunctive belief rule base learning for complex system modeling

2018 ◽  
Vol 161 ◽  
pp. 47-64 ◽  
Author(s):  
Leilei Chang ◽  
Zhijie Zhou ◽  
Yuwang Chen ◽  
Xiaobin Xu ◽  
Jianbin Sun ◽  
...  
Keyword(s):  
Complex System ◽  
Akaike Information Criterion ◽  
System Modeling ◽  
Information Criterion ◽  
Rule Base ◽  
Belief Rule Base ◽  
Complex System Modeling

A new risk assessment method based on belief rule base and fault tree analysis

2021 ◽  
pp. 1748006X2110114
Author(s):  
Hai-Long Zhu ◽  
Shan-Shan Liu ◽  
Yuan-Yuan Qu ◽  
Xiao-Xia Han ◽  
Wei He ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Expert Knowledge ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Evaluation Process ◽  
Assessment Method ◽  
Assessment Model ◽  
Rule Base ◽  
Tree Analysis ◽  
Belief Rule Base

Risk assessment methods are often used in complex industrial systems to avoid risks and reduce losses. The existing methods have not effectively solved the problems of lack of evaluation data and the interpretability of the entire evaluation process. This paper proposes a new risk assessment model based on the belief rule base (BRB) and Fault Tree Analysis (FTA). The FTA algorithm overcomes the difficulties of traditional BRB model in obtaining expert knowledge, clear indicators, and establishing logical relationships. This method establishes FTA rules based on the BRB model and expands the knowledge base through the FTA algorithm. A Bayesian network is applied as a conversion bridge between the FTA and BRB model. In addition, the model is optimized to reduce the uncertainty in the model. The method proposed is described by a case and its effectiveness is verified.

Hidden behavior prediction of complex system based on time-delay belief rule base forecasting model

2020 ◽  
Vol 203 ◽  
pp. 106147
Author(s):  
Guan-Yu Hu ◽  
Zhi-Jie Zhou ◽  
ChangHua Hu ◽  
Bang-Cheng Zhang ◽  
Zhi-Guo Zhou ◽  
...  
Keyword(s):  
Complex System ◽  
Time Delay ◽  
Forecasting Model ◽  
Rule Base ◽  
Behavior Prediction ◽  
Belief Rule Base

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

2017 ◽  
Vol 93 ◽  
pp. 108-120 ◽  
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

Implementation of Fuzzy Logic Control on Battery Charging System

2019 ◽  
Vol 3 (1) ◽  
pp. 118-126 ◽  
Author(s):  
Prihangkasa Yudhiyantoro
Keyword(s):  
Complex System ◽  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Expert Knowledge ◽  
Experimental Result ◽  
Rule Base ◽  
Battery Charging ◽  
Charging System ◽  
Logic Control ◽  
Charging Control

This paper presents the implementation fuzzy logic control on the battery charging system. To control the charging process is a complex system due to the exponential relationship between the charging voltage, charging current and the charging time. The effective of charging process controller is needed to maintain the charging process. Because if the charging process cannot under control, it can reduce the cycle life of the battery and it can damage the battery as well. In order to get charging control effectively, the Fuzzy Logic Control (FLC) for a Valve Regulated Lead-Acid Battery (VRLA) Charger is being embedded in the charging system unit. One of the advantages of using FLC beside the PID controller is the fact that, we don’t need a mathematical model and several parameters of coefficient charge and discharge to software implementation in this complex system. The research is started by the hardware development where the charging method and the combination of the battery charging system itself to prepare, then the study of the fuzzy logic controller in the relation of the charging control, and the determination of the parameter for the charging unit will be carefully investigated. Through the experimental result and from the expert knowledge, that is very helpful for tuning of the  embership function and the rule base of the fuzzy controller.

scholarly journals A Fusion Prognostic Method for Remaining Useful Life Prediction Based on an Extended Belief Rule Base and Particle Filters

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Bincheng Wen ◽  
Mingqing Xiao ◽  
Guanghao Wang ◽  
Zhao Yang ◽  
Jianfeng Li ◽  
...  
Keyword(s):  
Life Prediction ◽  
Particle Filters ◽  
Remaining Useful Life ◽  
Rule Base ◽  
Belief Rule Base ◽  
Useful Life
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