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Ontology Based Diagnosis for Maintenance Decisions of Paper Mill Roller Using Dynamic Response

机译:基于本体的诊断用于使用动态响应的造纸碾辊维修决策

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Context-aware systems have been applied in several fields like Information Technology, mobile, web services, travel guidance etc. These systems deliver decisions based on a 'context' by using contextual models. In paper industries, the failures of rollers were prominent and rolling element bearing is one of the critical components. The failure occurs due to the varying levels of the loads and external parameters that defines context. This paper demonstrates the ontology contextual modeling for the diagnosis of rollers as a context by using dynamic response. The roller is modeled using physical models and applying runs of different parameters and its levels. Then contextual models are generated for rollers to show relation among input contextual parameters with different features. This paper shows that this conceptual idea of decision based on different contexts using ontology models is for effective diagnosis facilitate maintenance strategies and further prospects in prognosis.
机译:背景感知系统已应用于信息技术,移动,Web服务,旅行指导等的几个字段中。这些系统通过使用上下文模型来提供基于“上下文”的决策。在造纸工业中,滚轮的故障突出,滚动元件轴承是关键部件之一。由于定义上下文的负载和外部参数的变化和外部参数而发生故障。本文通过使用动态响应展示了用于诊断滚子作为上下文的本体上下文建模。滚轮使用物理模型进行建模,并应用不同参数的运行及其水平。然后,为滚轮生成上下文模型,以显示具有不同特征的输入上下文参数之间的关系。本文表明,基于使用本体模型的不同背景的这种决策的概念概念是有效诊断,便于维护策略和预后进一步前景。

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