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Hierarchical failure simulation for machinery prognostics

机译:机械故障预测的分层故障模拟

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A "prognostics" capability is an essential element of a condition-based maintenance schemem. Prognostics involves monitoring to ascertain the current health of a machine in combination with predictive modeling, and implies the ability to confidently predict remaining life under a range of operating conditions so as to guarantee operation for a minimum time under extreme conditons. Development of efficient unmerical models of material damage accumulation and component faulure are key parts of a prognostics capability. Such models need not approach perfect fidelity, as errors can be detected by monitoring, but must be accurate enough to guarantee safe operation over some time window into the future. A hierarchical modeling approach is being developed to address this need, with the following features: (1) local material failure is modeled approximately using contimuum damage mechanics; (2) component failure is modeled through numerical solution of representative boundary value problems; and (3) system failure is modeled dynamically by representing individual components as discrete elements having associated damage states. Damage mechanics solutions for individual components are used to define characteristic "component damage modes," wich are used to construct low-order component models for use in system simulation. These simulations are used to dientify system failure modes and accompanying observables, as well as to assess remaining life.
机译:“预测”功能是基于条件的维护计划的基本要素。预测学包括与预测建模相结合的监视以确定机器的当前运行状况,并且意味着能够自信地预测各种运行条件下的剩余寿命,从而保证在极端条件下运行最少的时间。开发有效的非数值模型来进行材料损伤累积和零件损坏是预测能力的关键部分。由于可以通过监视来检测错误,因此此类模型无需逼真的保真度,但必须足够准确以保证在将来的某个时间范围内安全运行。正在开发一种满足以下需求的分层建模方法,它具有以下特征:(1)局部材料失效近似使用连续损伤机制建模; (2)通过有代表性的边值问题的数值求解来建模零件失效; (3)通过将各个组件表示为具有相关损坏状态的离散元素来动态建模系统故障。单个组件的损坏力学解决方案用于定义特征性的“组件损坏模式”,并用于构建用于系统仿真的低阶组件模型。这些模拟用于确定系统故障模式和伴随的可观察值,以及评估剩余寿命。

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