用于工具机的可重构预诊平台的设计_工具机_RPP

用于工具机的可重构预诊平台的设计

2012/1/5 9:15:11

摘要
近年来，研究人员与从业人员一直试图开发并使用在特定情况（ad hoc）下通过试错法（trial-and-error）实现的预诊技术。然而这些尝试由于缺少系统性方法和平台来指导如何针对应用开发相适应的工具，获得了有限的成功。本文介绍了一种设计可重构预诊平台（RPP）的方法论，这种方法论可以有效地用于机床的性能评估与预测。RPP可安装在设备上，将数据转换为与设备性能有关的信息。然后，设备性能的相关信息可通过互联网与企业资产管理系统相整合，用于维护决策的制定。本文使用了两个工业实例来验证RPP及其可重构能力在不同预诊应用下的有效性。

Design of a reconfigurable prognostics platform for machine tools

Abstract
For decades, researchers and practitioners have been trying to develop and deploy prognostics technologies with ad hoc and trial-and-error approaches. These efforts have resulted in limited success, due to the fact that it lacks a systematic approach and platform in deploying the right prognostics tools for the right applications. This paper introduces a methodology for designing a reconfigurable prognostics platform (RPP) which can be easily and effectively used to assess and predict the performance of machine tools. RPP can be installed on the equipment and it has the prognostic capabilities to convert the data into performance-related information. The equipment performance information can then be integrated into the enterprise asset management system for maintenance decision making through the Internet. Two industrial cases are used to validate the effectiveness of applying the RPP for different prognostic applications as well as the reconfigurable capabilities of the proposed RPP.