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首页> 外文会议>International Conference on Intelligent Computing;ICIC 2008 >Machinery Vibration Signals Analysis and Monitoring for Fault Diagnosis and Process Control
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Machinery Vibration Signals Analysis and Monitoring for Fault Diagnosis and Process Control

机译：机械振动信号分析与监控，用于故障诊断和过程控制

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摘要

The vibration signals contain a wealth of complex information that characterizes the dynamic behavior of the machinery. Monitoring rotating machinery is often accomplished with the aid of vibration sensors. Transforming this information into useful knowledge about the health of the machine can be challenging due to the presence of extraneous noise sources and variations in the vibration signal itself. This paper describes applying vibration theory to detect machinery fault, via the measurement of vibration and voice monitoring machinery working condition, also proposes a useful way of vibration analysis and source identification in complex machinery. An actual experiment case study has been conducted on a mill machine. The experiment results indicate that fewer sensors and less measurement and analysis time can achieve condition monitoring, fault diagnosis, and damage forecasting. Further applications allow feedback to the process control on production line.
机译：振动信号包含大量复杂的信息，这些信息表征了机器的动态行为。监视旋转机械通常是借助振动传感器来完成的。由于外部噪声源的存在和振动信号本身的变化，将这些信息转换为有关机器运行状况的有用知识可能具有挑战性。本文介绍了运用振动理论通过测量振动和监测机器的工作状态来检测机械故障，并提出了一种有用的方法来分析复杂机械中的振动和进行信号源识别。在磨机上进行了实际的实验案例研究。实验结果表明，更少的传感器和更少的测量和分析时间可以实现状态监测，故障诊断和损坏预测。进一步的应用程序允许反馈到生产线上的过程控制。

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