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

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• 作者：Guanqian Deng ; Jing Qiu ; ^{qiujing@nudt.edu.cn}Author Vitae ; Guanjun Liu ; Kehong Lv
• 关键词：Environmental stress ; False alarms ; Intermittent faults ; Interval grey association degree ; Interval number
• 刊名：Chinese Journal of Aeronautics
• 出版年：2013
• 出版时间：April, 2013
• 年：2013
• 卷：26
• 期：2
• 页码：456-462
• 全文大小：1077 K

文摘

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.