Environmental stress level evaluation approach based on physical model and interval grey association degree

10Citations
Citations of this article
7Readers
Mendeley users who have this article in their library.

Abstract

Associating environmental stresses (ESs) with built-in test (BIT) output is an important means to help diagnose intermittent faults (IFs). Aiming at low efficiency in association of traditional time stress measurement device (TSMD), an association model is built. Thereafter, a novel approach is given to evaluate the integrated environmental stress (IES) level. Firstly, the selection principle and approach of main environmental stresses (MESs) and key characteristic parameters (KCPs) are presented based on fault mode, mechanism, and ESs analysis (FMMEA). Secondly, reference stress events (RSEs) are constructed by dividing IES into three stress levels according to its impact on faults; and then the association model between integrated environmental stress event (IESE) and BIT output is built. Thirdly, an interval grey association approach to evaluate IES level is proposed due to the interval number of IES value. Consequently, the association output can be obtained as well. Finally, a case study is presented to demonstrate the proposed approach. Results show the proposed model and approach are effective and feasible. This approach can be used to guide ESs measure, record, and association. It is well suited for on-line assistant diagnosis of faults, especially IFs. © 2013 Production and hosting by Elsevier Ltd. on behalf of CSAA and BUAA.

Cite

CITATION STYLE

APA

Deng, G., Qiu, J., Liu, G., & Lv, K. (2013). Environmental stress level evaluation approach based on physical model and interval grey association degree. Chinese Journal of Aeronautics, 26(2), 456–462. https://doi.org/10.1016/j.cja.2013.02.024

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free