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Design Methods for Reducing Failure Probabilities with Examples from Electrical Engineering
Mona Fuhrländer ; Mona Fuhrländer
Springer Theses ISBN: 9783031370182

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3

Active learning deep autoencoder model with importance sampling for reliability analysis
Yang, Fan ; Xu, Qiangrong ; Chen, Feng
In Applied Soft Computing August 2025 180

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4

An Event-Triggered Hybrid System Model for Cascading Failure in Power Grid.
Yang, Yujie ; Zhou, Yadong ; Wu, Jiang ; et al.
IEEE Transactions on Automation Science & Engineering; Jul2022, Vol. 19 Issue 3, p1312-1325, 14p

ELECTRIC power distribut... ELECTRIC power failures HYBRID systems ALGEBRAIC equations ELECTRICAL load DISTRIBUTION (Probabilit...
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5

Reliability and vulnerability analyses of critical infrastructures: Comparing two approaches in the context of power systems : ESREL 2011
JOHANSSON, Jonas ; HASSEL, Henrik ; ZIO, Enrico
Reliability engineering & systems safety. 120:27-38

Control theory, operatio... Automatique, recherche o... Energy Énergie Sciences exactes et tech... Exact sciences and techn... …
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6

Exploiting short channel effects and multi-Vt technology for increased robustness and reduced energy consumption, with application to a 16-bit subthreshold adder implemented in 65 nm CMOS
Snorre Aunet ; Ali Asghar Vatanjou ; Trond Ytterdal
2015 European Conference on Circuit Theory and Design (ECCTD). :1-4

0202 electrical engineer... 02 engineering and techn... 7. Clean energy
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7

Single-Loop Sampling for Estimating Failure-Probability Upper-Bound Function
Yuhua Yan ; Zhenzhou Lu ; Kaixuan Feng ; et al.
AIAA Journal. 62:2443-2457

0202 electrical engineer... 02 engineering and techn... 0201 civil engineering
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8

Adaptive design of experiment via normalizing flows for failure probability estimation
Wang, Hongji ; Guo, Tiexin ; Li, Jinglai ; et al.

Methodology (stat.ME) FOS: Computer and inform... 0202 electrical engineer... 02 engineering and techn... Statistics - Methodology 0201 civil engineering
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9

Comparison of Probability and Possibility for Design Against Catastrophic Failure Under Uncertainty
Raluca Rosca ; Efstratios Nikolaidis ; Harley H. Cudney ; et al.
Journal of Mechanical Design. 126:386-394

0209 industrial biotechn... 0202 electrical engineer... 02 engineering and techn...
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10

Scarce Sample-Based Reliability Estimation and Optimization Using Importance Sampling
Kiran Pannerselvam ; Deepanshu Yadav ; Palaniappan Ramu
Mathematical and Computational Applications, Vol 27, Iss 6, p 99 (2022)
Mathematical and Computational Applications; Volume 27; Issue 6; Pages: 99

MOO T57-57.97 reliability Applied mathematics. Qua... QA75.5-76.95 02 engineering and techn... …
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11

Management Insights
Michael F. Gorman
Management Science. 59:iv-vii

2. Zero hunger 0209 industrial biotechn... 8. Economic growth 0202 electrical engineer... 02 engineering and techn... 3. Good health
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12

Reasoning about Recursive Quantum Programs
Xu, Zhaowei ; Ying, Mingsheng ; Valiron, Benoît

FOS: Computer and inform... Computer Science - Logic... Computer Science - Progr... 0202 electrical engineer... 02 engineering and techn... Logic in Computer Scienc... …
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13

Risk-Based Hazardous Release Protection and Prevention by Inspection and Maintenance
Iain Le May ; Samuel J. Brown
Journal of Pressure Vessel Technology. 122:362-367

13. Climate action 0211 other engineering a... 0202 electrical engineer... 02 engineering and techn... 12. Responsible consumpt...
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14

Metoda binarnih dijagrama odlučivanja za vrednovanje stabla kvara u nuklearnoj elektrani
Banov, Reni ; Šimić, Zdenko

redoslijed varijabli Elektrotehnika variable ordering binarni dijagram odlučiv... fault tree pouzdanost nuklearne ele... …
Dissertation
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15

A System Approach to Dynamic Response Variability Under Parameter Uncertainty and Variability
N. Tzannetakis ; Thierry Olbrechts ; Stijn Donders ; et al.
45th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics & Materials Conference.

0202 electrical engineer... 02 engineering and techn... 0201 civil engineering
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16

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17

Modeling
Fuhrländer, Mona
Springer Theses ; Design Methods for Reducing Failure Probabilities with Examples from Electrical Engineering ; page 9-27 ; ISSN 2190-5053 2190-5061 ; ISBN 9783031370182 9783031370199

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