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Enregistrement W2183063766 · doi:10.1080/16843703.2013.11673317

Relationship and Changing Analysis of Birnbaum Importance for Different Components with Bayesian Networks

2013· article· en· W2183063766 sur OpenAlex

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Notice bibliographique

RevueQuality Technology & Quantitative Management · 2013
Typearticle
Langueen
DomaineDecision Sciences
ThématiqueRisk and Safety Analysis
Établissements canadiensnon disponible
Organismes subventionnairesNational Natural Science Foundation of China
Mots-clésReliability (semiconductor)CorrectnessComputer scienceBinary numberProbabilistic logicComponent (thermodynamics)Key (lock)Bayesian networkArtificial intelligenceMathematicsAlgorithmPhysicsArithmetic

Résumé

récupéré en direct d'OpenAlex

AbstractImportance measures are widely used in reliability engineering. To support system reliability optimization, this paper studies the relationship and changing characteristics of the Birnbaum importance measures (BMs) for different components in binary coherent systems. First, the probabilistic meaning of BM and a modeling method for binary coherent system based on Bayesian network (BN) are presented. Then, the relationship of BMs for different components is explored according to the position of corresponding nodes (components) in BN structures. Later, the changing of BMs for different components, which is caused by the reliability improvements of related root or middle nodes (components) in BN structures, is analyzed respectively. Finally, an illustrative example of a helicopter convertor is implemented to demonstrate the calculation and application process of the relationship and changing characteristics in binary coherent systems with BN. The experimental analysis results substantiate the correctness and effectiveness of the proposed relationship and changing characteristics of BMs for different components.Key Words: Birnbaum importance measurebinary coherent systemBayesian networkchanging of importancerelationship of importance. Additional informationNotes on contributorsZhiqiang CaiZhiqiang Cai Zhiqiang Cai was born in China in 1981. He is currently an Associate Professor in the School of Mechatronics, Northwestern Polytechnical University (NPU), China. He is also a member of IEEE and IEEE RS. He received his B.S. degree in 2003 at NPU with the title of "Excellent Undergraduate of Shaanxi province". He received his M.S. degree in 2006 at NPU with the award of "Excellent Thesis of NPU". In 2007, with the support of China Scholarship Council, he went to the Ecole Centrale Paris, France as a co-supervised Ph.D. student for one year. In 2010, he received his Ph.D. degree at NPU, majored in Management Science and Engineering. He has published over 20 academic papers and articles in journals and conferences in the past 5 years. His research interests include system reliability modeling, analysis and optimization.Shubin SiShubin Si Shubin Si was born in China in 1974. Currently he is a Professor in the School of Mechatronics, Northwestern Polytechnical University (NPU), China. He received his B.S. degree in 1997 and received his M.S. degree in 2002 at NPU, majored in Mechatronics Engineering. He also received his Ph.D. degree in 2006 at NPU, majored in Management Science and Engineering. In 2007, with the support of China Scholarship Council, he went to the University of Vaasa, Finland as a visit scholar for one year. He has published over 60 academic papers and articles in journals and conferences in the past 5 years. He also headed and participated in 5 government supported foundations and more than 10 enterprise supported projects. His research topics include system reliability theory, importance measure theory, maintenance management systems, and decision support systems.Hongyan DuiHongyan Dui Hongyan Dui was born in China in 1982. He received the B.S. degree (2007) in applied mathematics from Henan University at Henan, and the M.S. degree (2009) from the Major of Applied Mathematics, Northwestern Polytechnical University (NPU), China. He is currently a Ph.D. candidate of the School of Mechatronics, NPU. In 2011, he went to the University of Alberta as a visit collaborator for two months. His research interests include system reliability and importance analysis.Shudong SunShudong Sun Shudong Sun was born in China in 1963. He is a Professor of the School of Mechatronics, Northwestern Polytechnical University, China. He received his Ph.D. (1989) from the School of Mechanical Engineering, Nanjing University of Aeronautical and Astronautical, China. He is currently a managing director of Manufacturing Automation Research, Mechatronics and Robotics Research, and Manufacturing Technology and Machine Tool in National University, and a deputy director of Industrial Engineering Branch of Mechanical Engineering Society in Shanxi, China. He is also a member of IEEE. He went to the University of Sheffield, Strathclyde, and Malta, UK as a visit scholar for one year in 1994, 2004, and 2007, respectively. He received the outstanding young teacher award of ministry of education, and aviation youth technology award. His research interests include production management, maintenance management and robotics.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,472
Score d'incertitude au seuil0,577

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0030,005
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,126
Tête enseignante GPT0,403
Écart entre enseignants0,277 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle