当前位置: X-MOL 学术IEEE Trans. Reliab. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A Hybrid Condition-Based Maintenance Model for Deteriorating Systems Subject to Nonmemoryless Imperfect Repairs and Perfect Replacements
IEEE Transactions on Reliability ( IF 5.9 ) Pub Date : 2020-06-01 , DOI: 10.1109/tr.2019.2942019
Khac Tuan Huynh

Condition-based maintenance (CBM) is popularly recognized as a key lever that enables organizations to gain a competitive advance in the context of the fourth industrial revolution. Combining both the perfect and imperfect maintenance actions into CBM policies seems to be an efficient way to achieve high economic performances. Following this view, we propose and optimize in this article a hybrid deterioration-based maintenance model for continuously deteriorating systems subject to nonmemoryless imperfect repairs and perfect replacements. Compared to existing related works, the originality of our model is threefold. First, an innovative model representing both the positive and memory effects of imperfect repairs is developed. Second, a new decision rule for switching between perfect and imperfect maintenance actions is proposed. Finally, the mathematical cost model of the proposed hybrid maintenance policy is fully formulated on the basis of the sophisticated semiregenerative theory. Numerous sensitivity studies and comparisons with benchmark policies under various configurations of maintenance costs and system characteristics allow to better understand the behaviors of our hybrid maintenance policy and to confirm its effectiveness.

中文翻译:

一种基于非记忆性不完美修复和完美替换的老化系统的混合状态维护模型

基于状态的维护 (CBM) 被普遍认为是使组织能够在第四次工业革命的背景下获得竞争优势的关键杠杆。将完美和不完美的维护措施结合到 CBM 政策中似乎是实现高经济绩效的有效方式。遵循这一观点,我们在本文中提出并优化了一种基于混合退化的维护模型,用于持续恶化的系统,该系统受到非无记忆的不完美修复和完美替换。与现有的相关作品相比,我们模型的独创性有三方面。首先,开发了一个创新模型,代表不完全修复的积极和记忆效应。其次,提出了一种用于在完美和不完美维护行为之间切换的新决策规则。最后,所提出的混合维护政策的数学成本模型是在复杂的半再生理论的基础上完全制定的。在维护成本和系统特性的各种配置下,大量敏感性研究和与基准策略的比较可以更好地了解我们的混合维护策略的行为并确认其有效性。
更新日期:2020-06-01
down
wechat
bug