A5014454262- Advanced Decision-Making Techniques
- Risk and Safety Analysis
- Rough Sets and Fuzzy Logic
- Fault Detection and Control Systems
- Structural Load-Bearing Analysis
- Fire effects on concrete materials
- Multi-Criteria Decision Making
- Machine Fault Diagnosis Techniques
- Advanced Computational Techniques and Applications
- Network Security and Intrusion Detection
- Spatial and Panel Data Analysis
- Engineering Diagnostics and Reliability
- Structural Integrity and Reliability Analysis
- Acupuncture Treatment Research Studies
- Bayesian Modeling and Causal Inference
- Structural Health Monitoring Techniques
- Gastrointestinal Bleeding Diagnosis and Treatment
- Evaluation and Optimization Models
- Structural Behavior of Reinforced Concrete
- Offshore Engineering and Technologies
- Neural Networks and Applications
- Structural Response to Dynamic Loads
- Gastrointestinal disorders and treatments
- Evaluation Methods in Various Fields
- Economic and Environmental Valuation
Guilin University of Electronic Technology
2019-2025
Kyushu University
2024
Queen Mary University of London
2024
Third Affiliated Hospital of Southern Medical University
2022-2024
Xi'an Jiaotong University
2024
Changsha University
2010-2024
Xi'an High Tech University
2020-2023
Okanagan University College
2022
University of British Columbia
2022
Kleijnen Systematic Reviews (United Kingdom)
2022
The belief rule-base (BRB) model is a new intelligent expert system with the characteristics of both and data-driven model. In BRB there are many if-then rules which use degrees to express various types uncertain information, including fuzziness, randomness, ignorance. As semi-quantitative modeling tool for complex systems, has superiorities dealing numerical quantitative data linguistic qualitative knowledge that derived from heterogeneous sources. Moreover, it also white box approach can...
In current studies of the belief rule base (BRB) model, attributes are assumed to be fully reliable and observation data directly used as input. However, in engineering practice, may affected by some disturbance factors, including quality sensors noise environment. Then, reliability modeling accuracy BRB is therefore influenced. As such, a new model with attribute (BRB-r) proposed this paper. particular, calculation method given based on statistical method. Moreover, integrate into BRB-r,...
It is important to predict the hidden behavior of a complex system. In existing models for predicting behavior, belief rule base (HBRB) an effective model which can use qualitative knowledge and quantitative data. However, frame discernment (FoD) HBRB composed some states or propositions universal set including all not complete. The global ignorance local cannot be considered at same time, may lead inaccurate forecasting results. To solve problems, new named as PHBRB in described on FoD...
Compared with the observable behavior, it is difficult to predict hidden behavior of a complex system. In existing methods for predicting lot testing data (usually quantitative information) are needed be sampled. However, some engineering systems have following characteristics: 1) The cannot tested periodically, and information incomplete; 2) change process may affected by test; 3) only part qualitative knowledge (i.e., semiquantitative obtained. These characteristics all related test named...
In the technology of wireless sensor network (WSN), fault diagnosis based on fusion data analysis has attracted attention in field. It can detect and correct faults nodes time to improve accuracy fusion. this paper, characteristics WSN are analyzed, a method is proposed for belief rule base (BRB) model. First, process described WSN. Then, sensors analyzed from aspects time, space, attributes. Finally, model hierarchical BRB To make results more accurate, covariance matrix adaptation...
To predict network security situations better using expert knowledge and quantitative data, a new forecasting model known as cloud belief rule base (CBRB) is proposed. The CBRB utilizes the to describe referential point of rule, which more accurate for describing knowledge. Moreover, achieve optimal parameters proposed model, constraint covariance matrix adaptation evolution strategy (CMA-ES) algorithm presented in this letter. A case study situation prediction conducted with CMA-ES....
Due to the excellent performance in complex systems modeling under small samples and uncertainty, Belief Rule Base (BRB) expert system has been widely applied fault diagnosis. However, diagnosis process for mechanical equipment normally needs multiple attributes, which can lead rule number explosion problem BRB, limit efficiency accuracy. To solve this problem, a novel Combination (C-BRB) model based on Directed Acyclic Graph (DAG) structure is proposed paper. By dispersing numerous...
The evidential reasoning (ER) rule has been widely adopted in engineering fault diagnosis, yet its conventional implementations inherently neglect evidence correlations due to the foundational independence assumption required for Bayesian inference. This limitation becomes particularly critical practical scenarios where heterogeneous collected from diverse sensor types exhibits significant correlations. Existing correlation processing methods fail comprehensively address both linear and...
There is an increasing interest in the US developing engineered approaches to structural fire safety as alternative conventional code-based prescriptive approaches. With approach, response of a structure computed and appropriate design measures are taken assure acceptable response. In case steel buildings, one key elements approach ability predict elevated temperature properties steel. The at high temperatures can be drastically different from those room temperature, accurate knowledge these...
This paper presents the results of a detailed experimental study into mechanical properties ASTM A992 structural steel at elevated temperatures. Critical testing issues, including temperature measurement, control, and extensometer use along with equipment procedures are briefly explained. Tensile steady-state tests conducted on samples temperatures up to 1000 °C. Full stress-strain curves, representing coupons tested fracture temperatures, generated. Important such as yield stress, tensile...
With the growing demand for high safety in industrial system, fault diagnosis has attracted more and attention. Currently, belief rule base (BRB) shown an excellent performance modeling complex where expert knowledge is used effectively. Existing BRB models are assumed that inputs of attributes independent attribute correlation not taken into account. However, some engineering there obvious among these attributes. The correlated may produce redundant information which limits abilities to...