@inproceedings{46ced6e3a1c942fbae35d5d900e9d487,
title = "A new reliability prediction approach of mechanical system considering failure correlations",
abstract = "A reliability prediction approach of mechanical system considering failure correlation is proposed. First, the reliability model of unit considering the correlation of multiple failure modes based on joint distribution, the reliability model of assembly parts considering the load correlation of multiple failure modes and the reliability model of system considering shutdown correlation are proposed, respectively. Then, the process of this method is formulated. What{\textquoteright}s more, this method is applied in a 3 axis 2 shift transmissions for reliability prediction. In order to illustrate the advantages of the proposed reliability model and method, the results obtained by the proposed method is compared to the results obtained by Monte Carlo method and reliability models that do not consider correlations. All in all, this paper proposes a new approach to predict the reliability of mechanical systems considering correlations comprehensively.",
author = "Z. Zhang and Yi, {X. J.} and Lai, {Y. H.} and P. Hou and Dhillon, {B. S.}",
note = "Publisher Copyright: {\textcopyright} 2017 Taylor & Francis Group, London.; 27th European Safety and Reliability Conference, ESREL 2017 ; Conference date: 18-06-2017 Through 22-06-2017",
year = "2017",
doi = "10.1201/9781315210469-286",
language = "English",
isbn = "9781138629370",
series = "Safety and Reliability - Theory and Applications - Proceedings of the 27th European Safety and Reliability Conference, ESREL 2017",
publisher = "CRC Press/Balkema",
pages = "2275--2284",
editor = "Marko Cepin and Radim Bri{\v s}",
booktitle = "Safety and Reliability – Theory and Applications - Proceedings of the 27th European Safety and Reliability Conference, ESREL 2017",
}