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Online Detection of Subsurface Distress by Acoustic Emissions

机译：通过声发射在线检测地下遇险

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Acoustic emission techniques have been used to monitor pitting fatigue processes during four-ball testing. Results are presented that arose from a collaborative programme between the Naval Research Laboratory (Washington DC) and the University of Wales Swansea, sponsored by the US Office of Naval Research. The ultimate aim of the research is to develop a systematic fusion technology approach to condition-based maintenance of wear-related surface distress of critical components in naval air and surface combatant engine and transmission systems. The principal monitoring techniques utilised in the investigation comprise acoustic emission, vibration analysis and wear debris analysis. A custom data acquisition and processing system was developed to allow real-time graphing of AE signal frequency content. Post-test autopsy, involving optical and electron microscopy inspection of sectioned test balls is used to relate evidence of distress to actual modes of failure that are subsequently signalled by the changes that take place in the morphology of the associated wear debris. The future intentions in practice involve detection and diagnosis of signals related to the incidence of sub-surface cracks occurring prior to surface distress. This information can then be used in conjunction with other monitoring techniques and reliability data to predict the remaining useful life of rolling element components and thus determine when to terminate operations.
机译：声发射技术已用于监测四球测试期间的点蚀疲劳过程。呈现的结果是由美国海军研究办公室赞助的海军研究实验室（华盛顿特区）与威尔士斯旺西大学之间的合作计划产生的。该研究的最终目的是开发一种系统的融合技术方法，以基于状态的方式维护海军航空和水面战斗机发动机及传动系统中关键部件的磨损相关表面窘迫。调查中使用的主要监测技术包括声发射，振动分析和磨损碎片分析。开发了定制的数据采集和处理系统，以允许对AE信号频率内容进行实时绘图。测试后的尸体解剖，包括对切片的测试球的光学和电子显微镜检查，被用于将危险的证据与实际的失效模式相关联，随后通过相关磨损碎片的形态变化来发出信号。在实践中，未来的意图涉及检测和诊断与在发生表面问题之前发生的地下裂缝的发生有关的信号。然后可以将该信息与其他监视技术和可靠性数据结合使用，以预测滚动元件组件的剩余使用寿命，从而确定何时终止运行。

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