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Intellignnt on-line detection of cavitation in hydraulic pumps

机译：液压泵中气蚀的智能在线检测

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摘要

Pump cavitation can have devastating effects on the pump in which it occurs. High pressure hydraulic pumps, the type used to provide the power for heavy equipment and robots, can be completely destroyed of they are allowed to cavitate for even a few hours. Similar results are true for feedwater pumps in steam power applications and hydraulic poser units for aircraft controls. While cavitation is obvious to any mechanic standing near a pump which is cavitating, it is difficult to diagnosis if the pump is being operated remotely or is just one piece of equipment among many. The goal of this work is to develop an on-line condition monitoring tool to detect the occurrence of cavitation in hydraulic pumps using expert system technology, and to communicate that condition to operators and management using an intelligent user interface. The method of cavitation detect presented here involves developing a linear discriminant function of five variables. These five variables are state variables which would normally be available in many applications, i.e,. pressures, temperatures, and flow rate. This approach is shown to be successful from tests run on a hydraulic system. In addition, the use of on-line cavitation detection is presented in the context of it being only one of several system attributes monitored as part of an integrated real-time machine health assessment system (condition monitoring). The goal of the system is to provide on-line intellignent predictive maintenance capability thus saving time and money on mission critical systems.
机译：泵的气蚀会对其发生的泵产生破坏性影响。用来为重型设备和机器人提供动力的高压液压泵可以完全毁坏，甚至可以空化数小时。对于蒸汽动力应用中的给水泵和飞机控制系统中的液压推力器装置，类似的结果也适用。虽然空化对于站在空化泵附近的任何机械师来说都是显而易见的，但很难诊断该泵是在远程操作还是仅仅是众多设备中的一件。这项工作的目的是开发一种在线状态监测工具，以使用专家系统技术检测液压泵中的气蚀现象，并使用智能用户界面将该状况传达给操作员和管理人员。此处介绍的空化检测方法涉及开发五个变量的线性判别函数。这五个变量是状态变量，通常可在许多应用中使用，即。压力，温度和流量。通过在液压系统上进行的测试表明，这种方法是成功的。此外，在线空化检测的使用是作为集成实时机器运行状况评估系统（状态监视）的一部分而被监视的几个系统属性之一，因此提出了使用。该系统的目标是提供在线智能的预测维护功能，从而在关键任务系统上节省时间和金钱。

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