Risk based opportunistic maintenance model for complex mechanical systems
Risk based opportunistic maintenance model for complex mechanical systems
复制标题
复杂机械系统基于风险的机会维护模型
DOI：
10.1016/j.eswa.2013.10.041
复制
发表时间：
2014-05
影响因子：
8.5
通讯作者：
Zhang Laibin
中科院分区：
文献类型：
--
作者：
Hu Jinqiu;Zhang Laibin
复杂机械系统的本质可以看作是一个开放系统。系统各部分之间以及不同故障模式之间存在耦合关系，导致故障传播路径的多样性。综合考虑设备的安全性、效益性和维修损失，综合分析停机损失、最小维修费用、纠正性维修费用、预防性维修费用和机会性维修费用等参数，研究不同维修策略对设备维修的影响，提出了一种考虑故障风险的基于风险的机会性维修模型。它有助于将单个故障引起的负面随机因素提前转化为对其他轻微退化部件故障进行预防性防御的有利时机，从而降低整体经济损失。进一步发展了全局优化算法，实现了RBOM策略。通过案例分析，对RBOM战略实施的位置、时机、方式和标准进行了敏感性分析。通过与目前广泛使用的维修策略的对比研究，证明了该方法的优势，可以显著降低维修成本和故障风险，有望给能源行业带来立竿见影的效益。
The essence of the complex mechanical system can be considered as an open system. There exist coupling relationships between various parts in the system and also between different fault modes, which result in multiple fault propagation paths. Considering the safety, benefits and maintenance loss, parameters such as downtime losses, minimal repair costs, corrective, preventive and opportunistic maintenance costs, should be analyzed comprehensively to investigate the influence of different maintenance strategies.A new risk based opportunistic maintenance (RBOM) model considering failure risk is proposed in the paper. It helps to convert the negative random factors caused by single faults to a favorable opportunity of preventive defense against failure for other slight degraded components in advance, so the overall economic losses could be reduced. The global optimization algorithm is further developed to realize RBOM policy. Case studies are provided to illustrate the proposed approaches, with sensitivity analysis of the position, time, style and criterion of the RBOM strategy. Comparative study with the widely used maintenance policy demonstrates the advantage of the proposed method can significantly reduce the maintenance cost and failure risk, and are expected to bring immediate benefits to the energy industry.
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DOI：
--
发表时间：
2012
期刊：
Journal of Tsinghua University
影响因子：
--
作者：
Li Binfeng
通讯作者：
Li Binfeng
DOI：
10.1016/s0951-8320(02)00017-0
发表时间：
2002-06
期刊：
Reliab. Eng. Syst. Saf.
影响因子：
--
作者：
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Jorge M M Barata-Jorge-M-M-Barata-70671413;C. Soares;M. Marseguerra;E. Zio
DOI：
--
发表时间：
2009
期刊：
Nuclear Power Engineering
影响因子：
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作者：
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通讯作者：
Huang Zheng
影响因子：
4.3
作者：
Laggoune, Radouane;Chateauneuf, Alaa;Aissani, Djamil
通讯作者：
Aissani, Djamil
影响因子：
4.1
作者：
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通讯作者：
B. Iung;E. Levrat;Édouard Thomas