A New Evidential Reasoning Rule-Based Safety Assessment Method With Sensor Reliability for Complex Systems

Tang, Shuaiwen; Zhou, Zhijie; Hu, Changhua; Zhao, Fang; Cao, You

doi:10.1109/tcyb.2020.3015664

Cited by 53 publications

(11 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…erefore, it is necessary to consider the reliability of data to improve the accuracy of the assessment. Two main aspects of reliability need to be considered: the static reliability given by experts and the dynamic reliability extracted from data [28]. Let r i,s and r i,d represent the static reliability and the dynamic reliability of the i th attribute, respectively; then, its overall reliability can be calculated as follows:…”

Section: Calculation Methods Of the Overall Reliability Of Attributesmentioning

confidence: 99%

A Novel Interval Evidential Reasoning Approach to the Physical and Mechanical Property Assessment of Particleboards

Yang

Sun

Su³

et al. 2021

Mathematical Problems in Engineering

View full text Add to dashboard Cite

In this paper, a new assessment method based on the interval evidential reasoning (IER) rule is proposed to solve the problem of physical and mechanical property assessment (PMPA) for particleboards. Because the detection data of the density and thickness swelling (TS) of particleboards are in an interval form, a model with precise values as input becomes inappropriate, so the PMPA of particleboards is not feasible. In the proposed method, expert knowledge and interval data are integrated to solve the assessment problem. First, the overall reliability of attributes is calculated, and the interval data are transformed into an interval belief structure. Then, the multiple interval belief structures are aggregated by ER nonlinear optimization models. Finally, the assessment results are obtained by utility theory. With the proposed method, the PMPA of particleboards with interval values can be assessed reasonably, and the combination interval belief degree of different grades of particleboard can be obtained, which has a certain guiding significance for the production and subsequent operation of enterprises. A case study for the PMPA of particleboards is conducted to demonstrate the effectiveness of the proposed method.

show abstract

Section: Calculation Methods Of the Overall Reliability Of Attributesmentioning

confidence: 99%

A Novel Interval Evidential Reasoning Approach to the Physical and Mechanical Property Assessment of Particleboards

Yang

Sun

Su³

et al. 2021

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…Due to its simplicity in codifying the knowledge of human experts, rule-based reasoning systems have been widely used in various knowledge-intensive expert systems. For example, a rule-based system has been used for legal reasoning (Liu et al, 2021), safety assessment (Tang et al, 2020), emergency management (Jain et al, 2021), and online communication (Akbar et al, 2014). Specifically, in the biodiversity research area, rulebased systems are also widely used, for example, for predicting the impact of land-use changes on biodiversity (Scolozzi & Geneletti, 2011), molecular biodiversity database management (Pannarale et al, 2012), or for generating linked biodiversity data (Akbar et al, 2020).…”

Section: Temporal Information Inferencementioning

confidence: 99%

Automatic Generation of Temporal Data Provenance From Biodiversity Information Systems

Akbar

Saleh

Kartika

et al. 2022

IJIKM

View full text Add to dashboard Cite

Aim/Purpose: Although the significance of data provenance has been recognized in a variety of sectors, there is currently no standardized technique or approach for gathering data provenance. The present automated technique mostly employs workflow-based strategies. Unfortunately, the majority of current information systems do not embrace the strategy, particularly biodiversity information systems in which data is acquired by a variety of persons using a wide range of equipment, tools, and protocols. Background: This article presents an automated technique for producing temporal data provenance that is independent of biodiversity information systems. The approach is dependent on the changes in contextual information of data items. By mapping the modifications to a schema, a standardized representation of data provenance may be created. Consequently, temporal information may be automatically inferred. Methodology: The research methodology consists of three main activities: database event detection, event-schema mapping, and temporal information inference. First, a list of events will be detected from databases. After that, the detected events will be mapped to an ontology, so a common representation of data provenance will be obtained. Based on the derived data provenance, rule-based reasoning will be automatically used to infer temporal information. Consequently, a temporal provenance will be produced. Contribution: This paper provides a new method for generating data provenance automatically without interfering with the existing biodiversity information system. In addition to this, it does not mandate that any information system adheres to any particular form. Ontology and the rule-based system as the core components of the solution have been confirmed to be highly valuable in biodiversity science. Findings: Detaching the solution from any biodiversity information system provides scalability in the implementation. Based on the evaluation of a typical biodiversity information system for species traits of plants, a high number of temporal information can be generated to the highest degree possible. Using rules to encode different types of knowledge provides high flexibility to generate temporal information, enabling different temporal-based analyses and reasoning. Recommendations for Practitioners: The strategy is based on the contextual information of data items, yet most information systems simply save the most recent ones. As a result, in order for the solution to function properly, database snapshots must be stored on a frequent basis. Furthermore, a more practical technique for recording changes in contextual information would be preferable. Recommendation for Researchers: The capability to uniformly represent events using a schema has paved the way for automatic inference of temporal information. Therefore, a richer representation of temporal information should be investigated further. Also, this work demonstrates that rule-based inference provides flexibility to encode different types of knowledge from experts. Consequently, a variety of temporal-based data analyses and reasoning can be performed. Therefore, it will be better to investigate multiple domain-oriented knowledge using the solution. Impact on Society: Using a typical information system to store and manage biodiversity data has not prohibited us from generating data provenance. Since there is no restriction on the type of information system, our solution has a high potential to be widely adopted. Future Research: The data analysis of this work was limited to species traits data. However, there are other types of biodiversity data, including genetic composition, species population, and community composition. In the future, this work will be expanded to cover all those types of biodiversity data. The ultimate goal is to have a standard methodology or strategy for collecting provenance from any biodiversity data regardless of how the data was stored or managed.

show abstract

“…The other is the dynamic factor caused by the interference of uncertainty in the monitoring environment. 25 The static factor can be considered as an inherent attribute of the sensor and is a constant. The dynamic factor is obtained by using the distance-based method and described by the change in the relative distance among data.…”

Section: Structural Health Assessment Model Based On the Er Rulementioning

confidence: 99%

A new LNG wharf health assessment model considering structural weak areas

Zhang¹,

Yang²,

Hu³

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part O:

Self Cite

View full text Add to dashboard Cite

The structural health state of liquefied natural gas (LNG) wharf is important for the docking and operation of LNG ships. Based on the finite element modal analysis (FEMA) and evidential reasoning (ER) rule, a new health assessment model for the LNG wharf is proposed in this paper, where structural weak areas are considered. Firstly, combining the structural mechanism and FEMA, the LNG wharf is simulated and modeled. The weak areas of the wharf in common working modes are analyzed and obtained. Secondly, based on the analysis results, the sensor deployment is guided and the wharf health information is collected. Finally, based on the ER rule, the sensor monitoring information is fused to realize the health assessment of the wharf. This paper takes an LNG wharf in the Hainan Yangpu area of China as an example. The experimental results show that the proposed method can accurately and effectively assess the health state of the wharf.

show abstract

A New Evidential Reasoning Rule-Based Safety Assessment Method With Sensor Reliability for Complex Systems

Cited by 53 publications

References 26 publications

A Novel Interval Evidential Reasoning Approach to the Physical and Mechanical Property Assessment of Particleboards

A Novel Interval Evidential Reasoning Approach to the Physical and Mechanical Property Assessment of Particleboards

Automatic Generation of Temporal Data Provenance From Biodiversity Information Systems

A new LNG wharf health assessment model considering structural weak areas

Contact Info

Product

Resources

About