Reliability model application for power devices using mechanical strain real time mapping

2016 28th International Symposium on Power Semiconductor Devices and ICs (ISPSD) ◽

10.1109/ispsd.2016.7520794 ◽

2016 ◽

Author(s):

S. Panarello ◽

F. Garesci ◽

C. Triolo ◽

S. Patane ◽

D. Patti ◽

...

Keyword(s):

Real Time ◽

Mechanical Strain ◽

Reliability Model ◽

Power Devices ◽

Model Application

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Some Practical Aspects of Model Application for Real-Time Operational Forecasting

Recursive Streamflow Forecasting ◽

10.1201/b10538-11 ◽

2017 ◽

pp. 145-152

Keyword(s):

Real Time ◽

Model Application ◽

Operational Forecasting

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Training Machine Learning Surrogate Models From a High‐Fidelity Physics‐Based Model: Application for Real‐Time Street‐Scale Flood Prediction in an Urban Coastal Community

Water Resources Research ◽

10.1029/2019wr027038 ◽

2020 ◽

Vol 56 (10) ◽

Author(s):

Faria T. Zahura ◽

Jonathan L. Goodall ◽

Jeffrey M. Sadler ◽

Yawen Shen ◽

Mohamed M. Morsy ◽

...

Keyword(s):

Machine Learning ◽

Real Time ◽

Surrogate Models ◽

High Fidelity ◽

Model Application ◽

Coastal Community ◽

Flood Prediction

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MPC design based on a DBN reliability model: Application to drinking water networks ★ ★The authors would like to express their thanks to V. Puig (Automatic Control Department, Universitat Politécnica de Catalunya) and C. Simon (Université de Lorraine, Centre de Recherche en Automatique de Nancy, UMR 7039) for their precious time and comments that helped us to improve this work. This work has been funded by the Spanish Ministry of Economy and Competitiveness through the CICYT projects SHERECS (ref. DPI2011-26243) and ECOCIS (ref. DPI2013-48243-C2-1-R), and by the European Commission through contract EFFINET (ref. FP7-ICT2011-8-318556).

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2015.09.607 ◽

2015 ◽

Vol 48 (21) ◽

pp. 688-693 ◽

Author(s):

Jean C. Salazar ◽

Philippe Weber ◽

Ramon Sarrate ◽

Didier Theilliol ◽

Fatiha Nejjari

Keyword(s):

Drinking Water ◽

Automatic Control ◽

European Commission ◽

Reliability Model ◽

Water Networks ◽

Model Application ◽

Control Department

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High speed real-time temperature monitoring system inside power devices package using infrared radiation

10.7567/ssdm.2014.n-2-6 ◽

2014 ◽

Author(s):

N. Hirata ◽

A. Watanabe ◽

I. Omura

Keyword(s):

Real Time ◽

Monitoring System ◽

Infrared Radiation ◽

Temperature Monitoring ◽

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On-demand, dynamic and at-the-edge VNF deployment model application to Web Real-Time Communications

10.1109/cnsm.2016.7818440 ◽

2016 ◽

Author(s):

Amina Boubendir ◽

Emmanuel Bertin ◽

Noemie Simoni

Keyword(s):

Real Time ◽

Model Application ◽

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Failure analysis of power devices based on real-time monitoring

Microelectronics Reliability ◽

10.1016/j.microrel.2015.06.128 ◽

2015 ◽

Vol 55 (9-10) ◽

pp. 2032-2035 ◽

Author(s):

A. Watanabe ◽

M. Tsukuda ◽

I. Omura

Keyword(s):

Failure Analysis ◽

Real Time ◽

Real Time Monitoring ◽

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Well integrity management: “a way to do it in real time using a novel quantitative reliability model”

Rio Oil and Gas Expo and Conference ◽

10.48072/2525-7579.rog.2020.155 ◽

2020 ◽

Vol 20 (2020) ◽

pp. 155-156

Author(s):

Luiz Fernando Seixas De Oliveira ◽

Joaquim Domingues do Amaral Netto ◽

Danilo Colombo

Keyword(s):

Real Time ◽

Reliability Model ◽

Well Integrity ◽

Integrity Management

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Real time epidemic modeling using Richards model: application for the Covid-19 outbreak in East Kalimantan, Indonesia

Journal of Physics Conference Series ◽

10.1088/1742-6596/1751/1/012025 ◽

2021 ◽

Vol 1751 ◽

pp. 012025

Author(s):

M N Huda ◽

Sifriyani ◽

Fitriani

Keyword(s):

Real Time ◽

Epidemic Modeling ◽

Model Application ◽

Richards Model ◽

East Kalimantan

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NCPU: An Embedded Neural CPU Architecture on Resource-Constrained Low Power Devices for Real-time End-to-End Performance

2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO) ◽

10.1109/micro50266.2020.00091 ◽

2020 ◽

Author(s):

Tianyu Jia ◽

Yuhao Ju ◽

Russ Joseph ◽

Jie Gu

Keyword(s):

Low Power ◽

Real Time ◽

Power Devices ◽

Resource Constrained ◽

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Resource Efficient Real-time Reliability Model for Multi-Agent IoT Systems

IEEE Access ◽

10.1109/access.2021.3138931 ◽

2021 ◽

pp. 1-1

Author(s):

Ivan Eroshkin ◽

Lukas Vojtech ◽

Marek Neruda

Keyword(s):

Real Time ◽

Reliability Model ◽

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