TY - GEN
T1 - Reliability prediction of single-board computer based on physics of failure method
AU - Chen, Ying
AU - Xie, Limei
AU - Kang, Rui
PY - 2011
Y1 - 2011
N2 - In Physics of Failure (PoF) based Single-board computer reliability prediction, FMMEA is firstly introduced to get the failure modes, mechanism and physics of failure models. Performance parameters such as material, structure, technology and stress are used to found the simulation model. Some data are acquired by stress analysis and then Probabilistic Physics of Failure (PPoF) models are used to carry out damage analysis, from which a great amount of TTF (the time to failure)samples under single point and single failure mechanism are achieved. Reliability parameters like failure rate and MTBF can be computed through fusing of TTF data. Reliability prediction of a single board computer was given as an example of the failure simulation method. This method links reliability with structure, material and stress of a product, which will assist finding the weakest point of a product and adopting effective measures. This method is a supplement to statistics data based reliability prediction method.
AB - In Physics of Failure (PoF) based Single-board computer reliability prediction, FMMEA is firstly introduced to get the failure modes, mechanism and physics of failure models. Performance parameters such as material, structure, technology and stress are used to found the simulation model. Some data are acquired by stress analysis and then Probabilistic Physics of Failure (PPoF) models are used to carry out damage analysis, from which a great amount of TTF (the time to failure)samples under single point and single failure mechanism are achieved. Reliability parameters like failure rate and MTBF can be computed through fusing of TTF data. Reliability prediction of a single board computer was given as an example of the failure simulation method. This method links reliability with structure, material and stress of a product, which will assist finding the weakest point of a product and adopting effective measures. This method is a supplement to statistics data based reliability prediction method.
KW - FMMEA
KW - damage analysis
KW - physics of failure
KW - reliability prediction
UR - https://www.scopus.com/pages/publications/80052194370
U2 - 10.1109/ICIEA.2011.5975818
DO - 10.1109/ICIEA.2011.5975818
M3 - 会议稿件
AN - SCOPUS:80052194370
SN - 9781424487554
T3 - Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
SP - 1454
EP - 1458
BT - Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
T2 - 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
Y2 - 21 June 2011 through 23 June 2011
ER -