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

2013· article· en· W2183063766 on OpenAlex

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A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueQuality Technology & Quantitative Management · 2013
Typearticle
Languageen
FieldDecision Sciences
TopicRisk and Safety Analysis
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsReliability (semiconductor)CorrectnessComputer scienceBinary numberProbabilistic logicComponent (thermodynamics)Key (lock)Bayesian networkArtificial intelligenceMathematicsAlgorithmPhysicsArithmetic

Abstract

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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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.472
Threshold uncertainty score0.577

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.005
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.126
GPT teacher head0.403
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it