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振动信号处理技术及其在机械故障诊断中的应用

Vibration Signal Processing and Its Application in Machinery Fault Diagnosis

【作者】 冯坤

【导师】 高金吉;

【作者基本信息】 北京化工大学 , 机械设计及理论, 2006, 硕士

【摘要】 信号处理是机械设备故障诊断中的关键技术,起着对监测信号进行加工、变换,从中提取出敏感故障征兆的重要作用。机械系统在工作中会产生大量振动信号,如何对这些信号进行有效的分析是该领域急需解决的关键问题之一。处理这些信号的目标是实现信号检测,清晰地揭示机器状态信息。围绕这一目标,本论文以机械故障诊断中的振动信号为研究对象,就信号的检测、分析进行了理论、方法以及应用的研究。本文主要研究内容概括如下: 首先,针对旋转机械自动平衡快速精确检测相位的需求,提出了一套独到的检测方案;该方案基于互功率谱的相位检测、相位补偿滤波两种算法。 其次,针对加速度传感器信号积分的需要,研究了使用数字积分解决该问题的可行性;提出了信号经双通滤波后再使用数字积分器进行积分的方案。 最后,系统研究了能量算子方法,将其作为一种包络算法应用于共振解调和尖峰能量法(gSE法)两种重要的故障诊断方法之中,其中用能量算子方法成功取代了gSE法中的峰峰值检波电路。 本论文中所提出的各种信号分析方法均经过了严格的理论分析、

【Abstract】 Signal processing is a key technique in the field of machinery fault diagnosis. It plays an important role in transforming the measured signal and extracting the sensitive symptom of the fault. How to effectively process the signals produced by machinery has become one of the crucial problems to be resolved. The goal of processing the signals is to clearly detect and reveal the symptom of the fault. From the viewpoint of this goal, we make the vibration signals as our object investigated, and this dissertation studies the theories, approaches and applications of signal detection and analysis. The main contents of this dissertation can be summarized as follows:Firstly, for quickly acquiring the exact phase of vibration signal in automatic balancing, a novel phase detection approach is proposed. This approach bases on the cross power spectrum estimation and phase compensation filtering.Secondly, we study on the integration of digital signals of acceleration sensors. We proposed a scheme that processes the discrete time signals by two-pass filter and digital integrator.Thirdly, we study the energy operator systematically and successfully use it in two important diagnosis methods (resonance demodulation and spike energy) as an envelope algorithm. This algorithm can replace the

  • 【分类号】TH17
  • 【被引频次】37
  • 【下载频次】1755
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