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Experimental Investigation on Centrifugal Compressor Blade Crack Classification Using the Squared Envelope Spectrum

机译:基于平方包络谱的离心压气机叶片裂纹分类的实验研究

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Centrifugal compressors are a key piece of equipment for modern production. Among the components of the centrifugal compressor, the impeller is a pivotal part as it is used to transform kinetic energy into pressure energy. Blade crack condition monitoring and classification has been broadly investigated in the industrial and academic area. In this research, a pressure pulsation (PP) sensor arranged in close vicinity to the crack area and the corresponding casing vibration signals are used to monitor blade crack information. As these signals cannot directly demonstrate the blade crack, the method employed in this research is based on the extraction of weak signal characteristics that are induced by blade cracking. A method for blade crack classification based on the signals monitored by using a squared envelope spectrum (SES) is presented. Experimental investigations on blade crack classification are carried out to verify the effectiveness of this method. The results show that it is an effective tool for blade crack classification in centrifugal compressors.
机译:离心压缩机是现代生产的关键设备。在离心式压缩机的组件中,叶轮是关键部件,因为它用于将动能转换为压力能。在工业和学术领域已经广泛研究了叶片裂纹状况的监测和分类。在这项研究中,紧靠裂纹区域布置的压力脉动(PP)传感器和相应的套管振动信号用于监控叶片裂纹信息。由于这些信号无法直接显示叶片裂纹,因此本研究中使用的方法基于叶片裂纹引起的微弱信号特征的提取。提出了一种基于平方包络谱(SES)监测信号的叶片裂纹分类方法。对叶片裂纹分类进行了实验研究,以验证该方法的有效性。结果表明,它是一种有效的离心压缩机叶片裂纹分类工具。

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