Search results for "Evidence theory"

showing 4 items of 4 documents

Fuzzy FMECA analysis of radioactive gas recovery system in the SPES experimental facility

2021

Abstract Selective Production of Exotic Species is an innovative plant for advanced nuclear physic studies. A radioactive beam, generated by using an UCx target-ion source system, is ionized, selected and accelerated for experimental objects. Very high vacuum conditions and appropriate safety systems to storage exhaust gases are required to avoid radiological risk for operators and people. In this paper, Failure Mode, Effects, and Criticality Analysis of a preliminary design of high activity gas recovery system is performed by using a modified Fuzzy Risk Priority Number to rank the most critical components in terms of failures and human errors. Comparisons between fuzzy approach and classic…

Computer scienceSPES FMECA Fuzzy Risk Priority Number evidence theory exhaust gas storage system020209 energySystem safety02 engineering and technologyFuzzy logicFuzzy risk priority numberPriority Number030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicine0202 electrical engineering electronic engineering information engineeringSettore ING-IND/19 - Impianti NucleariRank (computer programming)TK9001-9401SPESExhaust gas storage systemReliability engineeringEvidence theoryFailure mode effects and criticality analysisNuclear Energy and EngineeringNuclear engineering. Atomic powerRisk assessmentFailure mode and effects analysisRadioactive gasFMECANuclear Engineering and Technology
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Epistemic uncertainty in fault tree analysis approached by the evidence theory

2012

Abstract Process plants may be subjected to dangerous events. Different methodologies are nowadays employed to identify failure events, that can lead to severe accidents, and to assess the relative probability of occurrence. As for rare events reliability data are generally poor, leading to a partial or incomplete knowledge of the process, the classical probabilistic approach can not be successfully used. Such an uncertainty, called epistemic uncertainty, can be treated by means of different methodologies, alternative to the probabilistic one. In this work, the Evidence Theory or Dempster–Shafer theory (DST) is proposed to deal with this kind of uncertainty. In particular, the classical Fau…

Fault tree analysisEpistemic uncertaintyGeneral Chemical EngineeringProbabilistic logicEnergy Engineering and Power TechnologyInterval (mathematics)Management Science and Operations Researchcomputer.software_genreIndustrial and Manufacturing EngineeringFTARisk analysiEvidence theoryControl and Systems EngineeringSettore ING-IND/17 - Impianti Industriali MeccaniciRare eventsSensitivity analysisData miningUncertainty quantificationSafety Risk Reliability and QualitycomputerUncertainty analysisFood ScienceEvent (probability theory)Mathematics
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A bottom-up procedure to calculate the Top Event probability in presence of epistemic uncertainty

2012

Industrial plants may be subjected to very dangerous events. Different methodologies are employed to evaluate the probability of their occurrence, as Process Safety Analysis (PSA) or Risk Analysis (RA). However, since for rare events reliability data are poor, the epistemic uncertainty needs to be considered. In this context, the classical probabilistic approach cannot be successfully used and then different approaches must be taken into account. Actually, this paper proposes the use of the Evidence Theory or Dempster-Shafer Theory (DST) to deal with data characterizing rare events in high risk industrial sites. In particular, a classical Fault Tree Analysis (FTA) is considered when the onl…

Risk Analysis Epistemic Uncertainty Evidence Theory FTA
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Automatic defect localization in VLSI circuits: A fusion approach based on the Dempster-Shafer theory

2017

Defect localization in Very Large Integration Cir-cuits (VLSI) requires to use multi-sensor information such aselectrical waveforms, emission microscopy images and frequencymapping in order to detect, localize and identify the failure. Eachsensor provides a specific kind of feature modeling the evidence.Thus, the defect localization in VLSI can be summarized asa problem of data fusion with heterogeneous and impreciseinformation. This study illustrates how to reproduce the humandecision for modeling and fusing the different multi-sensorfeatures by using the Demspter-Shafer theory. We propose notonly an automatic decision rule for mass functions computingbut also confidence intervals to quantif…

VLSI analysisMulti-sensor data fusionFault detection and identification[INFO.INFO-MO] Computer Science [cs]/Modeling and SimulationEvidence theory
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