Online automated quality assessment is critical to determine a sensor's fitness for purpose in real-time applications. A Dynamic Bayesian Network (DBN) framework is proposed to produce probabilistic quality assessments and represent the uncertainty of sequentially correlated sensor readings. This is a novel framework to represent the causes, quality state and observed effects of individual sens...

Because of the many limitations traditional failure mode effect and criticality analysis (FMECA), an integrated risk assessment model with improved FMECA, fuzzy Bayesian networks (FBN), evidence reasoning (ER) is proposed. A new characterization parameter system constructed in model. rule base based on confidence structure by combining set theory expert knowledge, BN technology used to realize ...

In this paper we analyze two methods of artificial intelligence: the Bayesian filter and the Fuzzy Logic engine. In order to do this we present each method and compare them. The mentioned methods have similar backgrounds but from epistemological point of view they are different. The paper ends with three case studies: the first about a Fuzzy Logic engine which is integrated into a Bayesian filt...

Introduction: This research was meant to provide a model for COPD diagnosis and to classify the cases into phenotypes; General COPD, Chronic bronchitis, Emphysema, and the Asthmatic COPD using a Bayesian Network (BN). Methods: The model was constructed through developing the Bayesian Network structure and instantiating the parameters for each of the variables. In order to validate the achiev...

Liquified natural gas (LNG) as a marine fuel has gained momentum the maritime industry moves towards sustainable future. Since unwanted LNG release may lead to severe consequences, performing quantitative risk assessment (QRA) for bunkering operations become mandatory according some regulations. Human error is main contributor risks, and human probabilities (HEPs) are essential inclusion in QRA...

The research on risk control during the construction stage of catenary is relatively limited. Based a comprehensive analysis factors construction, this study determined causal relationships between and established assessment model for that analyzed risks from logic perspective. During evaluation process, we identified six exogenous variables twenty-one endogenous in based literature review fiel...

With the acceleration of urbanization, construction urban subway tunnel networks is advancing towards deeper, denser, and larger subterranean forms. Currently, there a lack systematic identification dynamic reasoning analysis factors throughout entire process using mining method. To reduce probability accidents improve safety risk management in whole method, we propose evaluation method based o...