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Reliability Analysis of Circuit Board Based on Probability Box Failure Physical Model

  • Chuang Zhang
  • , Xiang Li
  • , Xinlin Fan
  • , Tian Tang
  • , Yong Qin
  • , Limin Jia
  • , Zhipeng Wang*
  • *Corresponding author for this work
  • Beijing Jiaotong University
  • Shenzhen United Aircraft Technology Co. Ltd

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper focuses on the issue of on-board circuit boards being prone to failure due to environmental factors such as vibration and heat during the actual operation of trains. Finite element simulation is conducted on the actual vibration data of the train, and it is considered that the distribution of heating components on the circuit board is unbalanced, which can lead to the uneven heat distribution of the entire circuit board during operation. Therefore, icepak is used for thermal simulation of the circuit board, using the results of thermal simulation as input for thermal fatigue simulation, the results show that the maximum equivalent stress and equivalent plastic strain are located between the electronic component and the solder joint. In addition, considering the effects of random uncertainty and cognitive uncertainty, a probability box failure physical model for weak components is established to complete reliability analysis at the component level in the circuit board.

Original languageEnglish
Title of host publicationProceedings of the 6th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2023 - Advanced Information Enabling Technology for Rail Transportation
EditorsMing Gong, Limin Jia, Yong Qin, Zhigang Liu, Jianwei Yang, Min An
PublisherSpringer Science and Business Media Deutschland GmbH
Pages298-307
Number of pages10
ISBN (Print)9789819993185
DOIs
Publication statusPublished - 2024
Externally publishedYes
Event6th International Conference on Electrical Engineering and Information Technologies for Rail Transportation, EITRT 2023 - Beijing, China
Duration: 19 Oct 202321 Oct 2023

Publication series

NameLecture Notes in Electrical Engineering
Volume1138
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference6th International Conference on Electrical Engineering and Information Technologies for Rail Transportation, EITRT 2023
Country/TerritoryChina
CityBeijing
Period19/10/2321/10/23

Keywords

  • Failure physical model
  • Finite element modeling
  • Probability box
  • Reliability analysis

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