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中文摘要：
为减少或防止往复式压缩机拉缸故障等恶性事故的发生，将主成分分析法（PCA）应用到往复式压缩机拉缸的故障诊断中。采用某石化企业压缩机缸体绝对振动的加速度值，并提取了其特征参数；根据不同的特征参数对不同机械故障的灵敏度各不相同这一现象，将特征参数两两组合后，对组合效果图与经主成分分析法处理得到的效果图进行了比较分析。研究结果表明，采用主成分分析法，可以使往复式压缩机获得一个稳定的工作状态，且能很好地区分设备工况，解决了对其特征参数的选择问题，实现了往复式压缩机拉缸故障的早期预警。
英文摘要：
In order to raduce the accident of reciprocating compressor cylinder score fault and other malignant accidents, the principal component analysis （PCA） method was applied to fault diagnosis of reciprocating compressors. After analysis of cylinder absolute vibration acceleration of one petrochemical enterprise, multiple parameters were extracted. Due to that different characteristic parameter＇s mechanical fault sensitivity was different, every two parameters were put in a group, and then the combination pictures were analyzed and compared with the picture that comes from the PCA method. The results show that the principal component analysis method will gain a stable work effect to reciprocating compressor, and always reflect equipment＇s working condition effectively. Thus parameter selection problem is solved and the cylinder score fault early warning is realized.
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