Condition monitoring of large, horizontal low speed slew bearings

大型卧式低速回转轴承的状态监测

• 批准号: LP0455693
• 负责人: Prof Kiet Tieu
• 金额: $ 11.88万
• 依托单位: University of Wollongong
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2004
• 资助国家: 澳大利亚
• 起止时间: 2004-09-01 至 2008-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP0455693
• 关键词: Condition; monitoring; large; horizontal; low

Remote sensing has often been used to collect vibration data .To date, no current analysis technique has produced results that appear consistent due to the low speed (less than 1 Hz), and the acyclic characteristic of the rolling element anti-friction bearing. The contact vibration energy between rolling elements and races is low due to the low speed of the motion, and thus the vibration produced is masked by the general running vibration and is not readily distinguishable from the background vibration of the rotating structure. The aim of this project is to use remote sensors to collect information about the state of horizontal slew bearings and develop an analysis technique that will predict the short to medium term behaviour of horizontal slew bearings. The technique has the potential of saving $3.2 million in loss production per an unplanned breakdown of a slew bearing in a steel plant.

遥感技术经常被用来收集振动数据，但由于滚动轴承的低速（小于1 Hz）和非循环特性，目前还没有一种分析技术能产生一致的结果。 由于运动速度低，滚动元件和滚道之间的接触振动能量低，因此所产生的振动被一般的运行振动掩盖，并且不容易与旋转结构的背景振动区分开。该项目的目的是利用遥感器收集有关水平回转轴承状态的信息，并开发一种分析技术，预测水平回转轴承的短期至中期行为。该技术有可能节省320万美元的损失生产每一个计划外故障的回转轴承在钢铁厂。