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首页> 外文会议>American Society of Mechanical Engineers(ASME)/Society of Tribologists and Lubrication Engineers(STLE) International Joint Tribology Conference 2004(IJTC 2004) vol.1 pt.A; 20041024-27; Long Beach,CA(US) >An Intelligent Ultra High Frequency Vibration Monitoring System for Turbomachinery Bearings
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An Intelligent Ultra High Frequency Vibration Monitoring System for Turbomachinery Bearings

机译：涡轮机械轴承智能超高频振动监测系统

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摘要

This paper demonstrates the feasibility of an intelligent ultra high frequency (UHF) vibration monitoring system for prognostics/diagnostics of turbine engines and its ability to provide improved predictions of component damage for use in maintenance and health management. The authors have developed an intelligent UHF system that integrates high frequency vibration/acoustic emission data with advanced feature extraction and fault isolation algorithms to assess the health of bearings and gearboxes in turbine engines. The system developed here provides early detection and severity assessment of bearing faults as well as alignment/imbalance problems by utilizing multiple regions of the vibro-acoustic energy spectrum (DC to 100's of kHz). The multiple bandwidth strategies and algorithms of the intelligent UHF system are based on the knowledge of mechanical faults propagation in turbomachinery bearings. Advanced diagnostic features derived from waveform analysis, high-frequency enveloping/demodulation, and more traditional time/frequency domain processing are combined with automated classification techniques to develop this information-rich health monitoring system. This clearly demonstrates the predictive value of UHF.
机译：本文展示了用于涡轮发动机的诊断/诊断的智能超高频（UHF）振动监测系统的可行性，以及其提供用于维护和健康管理的组件损坏的改进预测的能力。作者开发了一种智能UHF系统，该系统将高频振动/声发射数据与高级特征提取和故障隔离算法集成在一起，以评估涡轮发动机中轴承和变速箱的健康状况。通过使用振动声能谱的多个区域（DC至100 kHz），此处开发的系统可提供轴承故障以及对准/不平衡问题的早期检测和严重性评估。智能UHF系统的多带宽策略和算法基于对涡轮机械轴承中的机械故障传播的了解。源自波形分析，高频包络/解调和更传统的时/频域处理的高级诊断功能与自动分类技术相结合，以开发此信息丰富的健康监控系统。这清楚地证明了UHF的预测价值。

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