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Condition-based Maintenance: Model vs. Statistics A Performance Comparison

机译：基于条件的维护：模型与统计数据表现比较

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The current development in industrial applications shows a variety of approaches to perform maintenance: With reactive maintenance, only parts which fail will be replaced. This causes high costs and high unexpected failure rates. Preventive maintenance uses a predefined service plan and also a wear part exchange schedule. The plan or schedule is often based on real-time or an operation time. This often results in fixed maintenance cycles or an operation time-based maintenance. This can lead to a replacement or maintenance of a completely healthy component or to ignoring components that need to be replaced more frequently. Condition-based maintenance is an advanced approach which is based on measured component data to identify the current status of a component. This status is used to determine the date of maintenance or exchange as estimated end of life. Thus, only damaged components are maintained or exchanged. The scope of this paper is to implement a model-based maintenance algorithm in a real industrial application to determine the remaining lifetime of a component. A very important requirement is a good identification process for the model and the component. However, short commissioning times and a variety of different components pose an increased effort to identify the parameters. Thus, this paper presents an approach for a parameter identification which solely relies on data being present in the numerical control of the machine. The model-based approach is then compared to a simpler statistical approach using data from a running production machine.
机译：工业应用中的目前的开发显示了各种操作维护方法：随着无功的维护，只有失败的部件将被替换。这导致成本高，意外失败率高。预防性维护使用预定义的服务计划以及磨损部件交换计划。计划或计划通常基于实时或操作时间。这通常会导致固定的维护周期或基于操作时间的维护。这可能导致更换或维护完全健康的组件或忽略需要更频繁更换的组件。基于条件的维护是一种高级方法，它基于测量的组件数据来识别组件的当前状态。此状态用于确定维护日期或交换日期，估计生命结束。因此，只维护或交换损坏的组件。本文的范围是在真正的工业应用程序中实现基于模型的维护算法，以确定组件的剩余寿命。非常重要的要求是模型和组件的良好识别过程。然而，短暂的调试时间和各种不同的组件提高了识别参数的努力。因此，本文介绍了一种参数识别的方法，其单独依赖于在机器的数值控制中存在的数据。然后将基于模型的方法与使用运行生产机的数据进行更简单的统计方法进行比较。

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