论文部分内容阅读
在实际工作中,如何从振动信号频谱中识别出故障特征是一项较难的工作。尤其对刚从事故障诊断工作的人员来说,更是如此。有人曾把学习如何识别振动谱图比作学习一种新的工程语言,此比喻很形象。本文拟侧重说明在分析谱图时如何抓住重点,忽略次要因素,以确定故障的类型,找出设备存在的问题。 在分析振动谱图时,要记住两条原则: 1.频率形态(大小及其变化等)代表故障类型; 2.幅值代表故障劣化程度。 下面我们针对一些典型故障分析实际的振动谱
In practical work, how to identify fault features from the vibration signal spectrum is a difficult task. This is especially so for those who have just been involved in troubleshooting. Someone once compared learning how to identify vibration spectrum to learn a new engineering language, this analogy is very image. This article will focus on how to grasp the key points in the analysis of the spectrum, ignoring the secondary factors to determine the type of failure to identify equipment problems. There are two principles to keep in mind when analyzing vibration spectra: 1. The frequency shape (size and change, etc.) represents the type of fault; 2. The amplitude represents the degree of fault degradation. Below we analyze the actual vibration spectrum for some typical faults