Model-driven degradation modeling approaches: Investigation and review

Model-driven degradation modeling approaches: Investigation and review
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模型驱动的退化建模方法:调查和审查

DOI:
10.1016/j.cja.2019.12.006
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发表时间:
2020-04
影响因子:
5.7
通讯作者:
Chen Yunxia
Chen Yunxia
中科院分区:
工程技术2区
文献类型:
--
作者:
Kang Rui;Gong Wenjun;Chen Yunxia

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热力学第二定律意味着任何有生命和无生命的系统都会退化并不可避免地停止运作。随着时间的推移,它是不可逆的,可以标记为“时间的退化箭头”。从产品可靠性设计的角度出发,建立合适的描述时间退化箭头的模型是十分必要的。目前的建模方法主要包括模型驱动(基于人类的认知经验假设形式)和数据驱动(使用数据学习技术而不需要形式假设)的方法。本文对模型驱动的退化方法进行了研究和综述,希望能为学者或工程师提供模型构建或选择的建议。首先,对于单一机制,退化规律模型和随机过程模型被分类为分别描述退化的趋势和波动。对于退化规律模型,我们提出了元模型的概念,作为各种个人模型的原始类型。对于随机过程模型,主要分为非单调和单调两类。在此基础上,讨论了四种多机制退化类型,即竞争退化、多阶段退化、退化与冲击共存、退化与失效共存。此外,对于多性能退化,引入了独立模型和耦合模型。通过一系列文献中的实例和我们的实践经验,阐述了这些模式的形式、内涵、适用性和不足。最后对未来可能的工作提出了明确的建议,为开发新的退化模型提供了参考。
The second law of thermodynamics implies that any animate and inanimate systems degrade and inevitably stops functioning. It is irreversible over time that can be labeled as “the degradation arrow of time”. From perspective of products’ reliability design, it is essential to build appropriate models of describing the degradation arrow of time. The current modeling approaches mainly include the model-driven (having assumed forms based on cognitive experience of mankind) and data-driven (using data learning techniques without form hypothesis) approaches. In this paper, we just investigate and review the model-driven degradation approaches, hoping to provide suggestions of the model construction or selection for scholars or engineers. First, for the single mechanism, degradation law models and stochastic process models are classified as separately depicting the tendency and fluctuation of degradation. For the degradation law model, we propose the concept of meta-models as original types for various personal models. For the stochastic process model, two main types including the non-monotonic and monotonical types are presented. Then, four multi-mechanism degradation types are discussed, that are competitive degradation, multi-stage degradation, coexistence of degradation and impact, and coexistence of degradation and failure. Besides, for the multi-performance degradation, independent and coupling models are introduced. The forms, connotations, applicability and insufficiency of these models are described with a series of examples from the literature and our own experiences. The final explicit suggestions about the potential future work are provided for the development of new degradation models.
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