Fault Monitoring and Diagnosis System of Rotating Machines Based on AE Technique
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摘 要
论述了声发射技术应用于旋转机械故障监测与诊断是一种高效实用的方法。针对旋转机械结构特征及其声发射信号特点,开发了以声发射技术为核心的旋转机械故障监测与诊断专用系统,介绍了该系统的组成模块及其功能实现。在模拟工况条件下,利用该系统的时频分析功能和包络分析功能对一批故障滚动轴承进行了实时诊断,证明了该系统的科学性、有效性和实用性。
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Abstract
The present states of condition monitoring and fault diagnosis of rotating machines are introduced, and it is found that AE technique is a very valid means applied on rotating machines fault monitoring and diagnosis. Based on the structure features and AE signal characteristics of rotating machines, the paper puts forward a specific fault monitoring and diagnosis system applied on rotating machines of which AE technique is the core. The components and functions achieving of the system are introduced in detail. Under imitating operating conditions, real-time diagnosis of some faulty rolling element bearings have been carried on, using the temporal and spectral analysis function and envelopment analysis function of the system, thus the reasonableness, usefulness and validity of the system are proved.
中图分类号 TG115.28 TH113
所属栏目 科研成果与学术交流
基金项目 湖南省科技计划项目(06FJ4102)
收稿日期 2006/11/6
修改稿日期
网络出版日期
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备注廖传军(1979-),男,硕士,讲师,主要研究方向是声发射检测技术及信号处理。
引用该论文: LIAO Chuan-jun,LUO Xiao-li. Fault Monitoring and Diagnosis System of Rotating Machines Based on AE Technique[J]. Nondestructive Testing, 2007, 29(8): 461~464
廖传军,罗晓莉. 基于AE技术的旋转机械故障监测与诊断系统[J]. 无损检测, 2007, 29(8): 461~464
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参考文献
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【3】刘兆阳.大型旋转机械状态监测与故障诊断系统的设计与研究[J].通用机械,2006,(1):69-71.
【4】沈功田,段庆儒.压力容器声发射信号人工神经网络模式识别方法研究[J].无损检测,2001,23(4):144-14.
【5】唐东炜,黄耀升,王宇华.基于虚拟仪器的旋转机械故障监测与诊断系统[J].矿山机械,2006,32(2):103-104.
【6】李凤英,沈玉娣,熊 军.滚动轴承的声发射检测技术[J].无损检测,2005,27(11):583-586.
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