Modeling Bayesian Networks from a conceptual framework for occupational risk analysis

Vieira, Elamara Marama de Araujo; Silva, Jonhatan Magno Norte da; Silva, Luiz Bueno da

doi:10.1590/0103-6513.223916

Cited by 3 publications

(2 citation statements)

References 44 publications

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“…In addition, data mining algorithms can encode both qualitative and quantitative knowledge and are able to encode both forms of knowledge simultaneously in a BN. Therefore, BNs can bridge the gap between different types of knowledge and serve to unify all knowledge availability into a single form of representation [14]; therefore, an NBC is suitable for producing probability estimates rather than predictions. These estimates allow predictions to be ranked and their expected costs to be minimized.…”

Section: Introductionmentioning

confidence: 99%

A New Theoretical Approach: A Model Construct for Fault Troubleshooting in Cloud Computing

Alkasem

Liu

Shafiq

et al. 2017

Mobile Information Systems

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In cloud computing, there are four effective measurement criteria: (I) priority, (II) fault probability, (III) risk, and (IV) the duration of the repair action determining the efficacy of troubleshooting. In this paper, we propose a new theoretical algorithm to construct a model for fault troubleshooting; we do this by combining a Naïve-Bayes classifier (NBC) with a multivalued decision diagram (MDD) and influence diagram (ID), which structure and manage problems related to unambiguous modeling for any connection between significant entities. First, the NBC establish the fault probability based on a Naïve-Bayes probabilistic model for fault diagnosis. This approach consists of three steps: (I) identifying the network parameters to also show the reliance for probability relationship among the entire set of nodes; (II) determining the structure of the network topology; (III) assessing the probability of the fault being propagated. This calculates the probability of each node being faulty given the evidence. Second, the MDD combines the influential factors of four measurements and determines the utility value of prioritizing their actions during each step of the fault troubleshooting which in turn assesses which fault is selected for repair. We demonstrate how the procedure is adapted by our method, with the host server's failure to initiate a case-study. This approach is highly efficient and enables low-risk fault troubleshooting in the field of cloud computing.

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Section: Introductionmentioning

confidence: 99%

A New Theoretical Approach: A Model Construct for Fault Troubleshooting in Cloud Computing

Alkasem

Liu

Shafiq

et al. 2017

Mobile Information Systems

View full text Add to dashboard Cite

show abstract

“…There are several works on quantitative accident analysis models that support predicting and preventing accidents (Attwood, Khan, & Veitch, 2006); ; ; (Markowski & Kotynia, 2011); (Weber, Medina-Oliva, Simon, & Iung, 2012); (Pasman & Rogers, 2013); (Ferdous, Khan, Sadiq, Amyotte, & Veitch, 2013); (Badreddine & Ben Amor, 2013); (Khakzad, Khan, & Amyotte, 2013); (Villa & Cozzani, 2016); (Araujo, Norte da Silva, & Silva, 2017). System Hazard Identification, Prediction and Prevention (SHIPP) is one of these models that combines qualitative and quantitative analyses to provide a comprehensive approach with updating and prediction capabilities.…”

Section: Chapter 1: Introductionmentioning

confidence: 99%

Metodología para la Medición del Nivel de Seguridad en la Industria de Procesos = Methodology to Measure Safety Level in the Process Industry

Yousefi¹

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In response to most of these accidents many changes and improvements happened in regulations, organizations and technical aspects with the intention to prevent similar accidents or mitigate their consequences. For example, in Europe, Seveso (1976) accident prompted the adoption of legislation on the prevention and control of major accidents (Directive 82/501/EEC) that was called as Seveso Directive. In UK, Piper Alpha (1988) accident completely reshaped the offshore safety regime. One of the main recommendations led to the Offshore Installations Regulations (Safety Case).Companies involved in the process industry make many efforts to prevent and control major accidents. They carry out several safety studies and activities at different times during the life of a process plant.

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How to Determine Individual Risk Due to Toxic, Fire, and Explosion Accidents in a Hydrocarbon Processing Area?

Santana

Miranda

Orozco

et al. 2020

Int. J. Petrol. Technol.

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Accidents in the processing and storage of hydrocarbons can cause severe damage to people, not only within the facility but also in nearby places. In those cases, the occurrence of a major accident is considered. Moreover, there are many studies on how to determine the impact on people of these types of events. However, there is a real need to establish a methodology that integrates risk analysis techniques with other artificial intelligence ones and, in this way, to include the likelihood of the domino effect. For this reason, this research aims to determine the individual risk due to the domino effect of toxic, fire, and explosion accidents that can occur in a hydrocarbon processing area. For this purpose, a logical sequence of analysis of eight fundamental stages was made. In addition, the Bayesian and Petri networks are developed to determine the joint probability of the domino effect at different levels and the damages caused by toxicity, respectively. Finally, the individual risk is obtained, expressed using isorisk maps. As main results, these maps confirm that three deaths can occur up to 200 meters, while 250 will cause approximately four in just 10 years, values that decrease to 500 meters and are considered high according to specialized literature. Hence, this methodology is vital to quantify the possible damages of toxic accidents, fires, and explosions on people in the hydrocarbon processing industry.

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Modeling Bayesian Networks from a conceptual framework for occupational risk analysis

Cited by 3 publications

References 44 publications

A New Theoretical Approach: A Model Construct for Fault Troubleshooting in Cloud Computing

A New Theoretical Approach: A Model Construct for Fault Troubleshooting in Cloud Computing

Metodología para la Medición del Nivel de Seguridad en la Industria de Procesos = Methodology to Measure Safety Level in the Process Industry

How to Determine Individual Risk Due to Toxic, Fire, and Explosion Accidents in a Hydrocarbon Processing Area?

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