Reliability prediction of hydraulic gasket sealing

Annual Reliability and Maintainability Symposium, 2003. ◽

10.1109/rams.2003.1181928 ◽

2003 ◽

Author(s):

Yongcang Zhang ◽

R. Rogers ◽

T. Skryzyszewski

Keyword(s):

Reliability Prediction

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Reliability Prediction Based on Field Failure Data of Guided Missile

Journal of Applied Reliability ◽

10.33162/jar.2018.09.18.3.250 ◽

2018 ◽

Vol 18 (3) ◽

pp. 250-259 ◽

Cited By ~ 1

Author(s):

Yangwoo Seo ◽

Kyeshin Lee ◽

Younho Lee ◽

Jeyong Kim

Keyword(s):

Reliability Prediction ◽

Failure Data ◽

Field Failure

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A ReliabA Reliability Prediction Method of Novel Grey Model and its Error Analysisility Prediction Method of Novel Grey Model and

International Journal of Performability Engineering ◽

10.23940/ijpe.19.09.p10.23732381 ◽

2019 ◽

Vol 15 (9) ◽

pp. 2373

Author(s):

Meng Wei ◽

Zeng Bo ◽

Li Shuliang ◽

Ali Shah Syed Ahsan

Keyword(s):

Prediction Method ◽

Grey Model ◽

Reliability Prediction

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Study on reliability prediction of system missions

Recent Developments on Reliability, Maintenance and Safety ◽

10.2495/qr2mse140741 ◽

2015 ◽

Author(s):

H. Zhou

Keyword(s):

Reliability Prediction

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Software reliability prediction based on learning vector quantization neutral network

Journal of Computer Applications ◽

10.3724/sp.j.1087.2012.01436 ◽

2013 ◽

Vol 32 (5) ◽

pp. 1436-1438 ◽

Cited By ~ 1

Author(s):

Hui QIAO ◽

Yan-zhou ZHOU ◽

Nan SHAO

Keyword(s):

Vector Quantization ◽

Software Reliability ◽

Learning Vector Quantization ◽

Neutral Network ◽

Reliability Prediction ◽

Software Reliability Prediction

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Solder joints reliability prediction. Thermo-mechanical fatigue: the models based on creep strain

ELECTRONICS Science Technology Business ◽

10.22184/1992-4178.2017.165.5.166.170 ◽

2017 ◽

Vol 165 (5) ◽

pp. 166-170

Author(s):

K. Tikhomirov ◽

S. Alekseev

Keyword(s):

Creep Strain ◽

Solder Joints ◽

Reliability Prediction ◽

Mechanical Fatigue

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Using neural networks in reliability prediction

IEEE Software ◽

10.1109/52.143107 ◽

1992 ◽

Vol 9 (4) ◽

pp. 53-59 ◽

Cited By ~ 156

Author(s):

N. Karunanithi ◽

D. Whitley ◽

Y.K. Malaiya

Keyword(s):

Neural Networks ◽

Reliability Prediction

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Research on Dispatch Reliability Prediction in Commercial Aircraft Development

2020 Global Reliability and Prognostics and Health Management (PHM-Shanghai) ◽

10.1109/phm-shanghai49105.2020.9280994 ◽

2020 ◽

Author(s):

Dunyong Bao ◽

Jiawei Sun

Keyword(s):

Reliability Prediction ◽

Commercial Aircraft

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Post-fabrication measurement-driven oxide breakdown reliability prediction and management

Proceedings of the 2009 International Conference on Computer-Aided Design - ICCAD '09 ◽

10.1145/1687399.1687482 ◽

2009 ◽

Cited By ~ 6

Author(s):

Cheng Zhuo ◽

David Blaauw ◽

Dennis Sylvester

Keyword(s):

Reliability Prediction ◽

Oxide Breakdown

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Survey of combined hardware–software reliability prediction approaches from architectural and system failure viewpoint

International Journal of Systems Assurance Engineering and Management ◽

10.1007/s13198-019-00811-y ◽

2019 ◽

Vol 10 (4) ◽

pp. 453-474

Author(s):

Sourav Sinha ◽

Neeraj Kumar Goyal ◽

Rajib Mall

Keyword(s):

Software Reliability ◽

Reliability Prediction ◽

System Failure ◽

Software Reliability Prediction

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A time-dependent reliability prediction of deteriorating spun concrete bridge piers

European Journal of Environmental and Civil engineering ◽

10.1080/19648189.2015.1008650 ◽

2015 ◽

Vol 19 (10) ◽

pp. 1202-1215 ◽

Cited By ~ 2

Author(s):

Romualdas Kliukas ◽

Ona Lukoševičienė ◽

Algirdas Juozapaitis

Keyword(s):

Time Dependent ◽

Bridge Piers ◽

Reliability Prediction ◽

Concrete Bridge ◽

Spun Concrete

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