Full working condition thermal reliability analysis for 3D-integrated photo-mos SSR package

Based on the Yuwangbian high loess slope, which is located in Xi'an Yanta District, the basic principle of Monte-Carlo method is presented. By means of geotechnical engineering and geotechnical environment emulation software Geostudio-slope/w and based on Morgenstern-Price slope stability analysis method, the reliability and stability of the slope are analyzed under different kinds of working condition. The stability factor, reliability index and failure probability under the corresponding working conditions has been obtained. The results coincide with the actual condition, which makes the Geostudio software combine with the Monte-Carlo method and provides reference for the reliability analysis of loess slope.

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Thermal reliability analysis of non-gate dielectric film in IEC-GCT

2014 International Power Electronics and Application Conference and Exposition ◽

10.1109/peac.2014.7038065 ◽

2014 ◽

Author(s):

Ruliang Zhang ◽

Yong Gao ◽

Cailin Wang ◽

Pengfei Yang

Keyword(s):

Reliability Analysis ◽

Gate Dielectric ◽

Dielectric Film ◽

Thermal Reliability

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Automated thermal reliability analysis of hybrids

Microelectronics Reliability ◽

10.1016/0026-2714(84)90813-8 ◽

1984 ◽

Vol 24 (1) ◽

pp. 185

Keyword(s):

Reliability Analysis ◽

Thermal Reliability

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Thermal reliability analysis of polymeric materials for PV technology

2011 37th IEEE Photovoltaic Specialists Conference ◽

10.1109/pvsc.2011.6186412 ◽

2011 ◽

Author(s):

Crystal Vanderpan

Keyword(s):

Reliability Analysis ◽

Polymeric Materials ◽

Thermal Reliability

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Bridge Structure Random Reliability Analysis

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.193-194.1338 ◽

2012 ◽

Vol 193-194 ◽

pp. 1338-1341

Author(s):

Li Ye Zhang ◽

Xue Dong Guo ◽

Li Juan Dong

Keyword(s):

Reliability Analysis ◽

Working Condition ◽

Reliability Function ◽

Bridge Structure ◽

Analysis Method ◽

Safety Control ◽

Uncertainty Factors ◽

Structure Reliability ◽

Vehicle Load ◽

Bridge Reliability

In order to analyse bridge structure system reliability, studied various uncertainty factors on the influence of the bridge reliability, using the stochastic finite element method to analyse bridge reliability, according to the influence of bridge structure reliability uncertainty factors, including geometric parameter uncertainty, material properties uncertainty, the bridge weights uncertainty and the vehicle load uncertainty.According to the bridge actual working condition, respectively used stress and deflection deformation as the bridge structure safety control index, established 2 each reliability function, that is, considered the structure of the two failure mode.Using Monte-Carlo method to analyze the bridge structure reliability, verify the reliability analysis method is feasible, the bridge reliability about sensitivity factors, and provides the basis for the bridge structure reliability analysis.

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The Design and Thermal Reliability Analysis of a High-Efficiency K-Band MMIC Medium-Power Amplifier with Multiharmonic Matching

Active and Passive Electronic Components ◽

10.1155/2016/6295405 ◽

2016 ◽

Vol 2016 ◽

pp. 1-7 ◽

Cited By ~ 1

Author(s):

Y. Shang ◽

H. Xu ◽

J. Mo ◽

Z. Wang ◽

X. Xu ◽

...

Keyword(s):

Reliability Analysis ◽

Power Amplifier ◽

High Efficiency ◽

Infrared Imaging ◽

Imaging System ◽

Thermal Characteristic ◽

Analysis Method ◽

Process Technology ◽

Thermal Reliability ◽

K Band

A new high-efficiency K-band MMIC medium-power amplifier (PA) is designed with multiharmonic matching using GaAs pHEMT process technology. It has an operation frequency centered at 26 GHz with a bandwidth of 2 GHz. A 20 dBm 1 dB-compression-point output power and 40% efficiency are achieved. A novel thermal reliability analysis method based on ICEPAK is proposed also to evaluate its thermal characteristic. The test result by using a QFI InfraScope™infrared imaging system is compared with the simulation result. It agrees well with an accuracy within ±1°C differences, which reflects the advantages of the thermal analysis method with respect to accuracy and convenience for use.

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