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STUDY ON FAILURE DIAGNOSTIC METHOD AND INTELLECTUAL DIAGNOSTIC SYSTEM OF RECIPROCATING COMPRESSOR

机译:往复式压缩机的故障诊断方法和智能诊断系统研究

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Three categories of the failure diagnostic methods are classified according to the signal adopted by the diagnosis. They are the parameter method, the vibration method and the oil analysis method. In this paper, the applicable range and operational difficulties of these methods are discussed on the basis of analysis and induction upon normal failure. It's proposed that compressor's normal failure can be divided into thermodynamically property failure and mechanical function failure, as to the former, the parameter method that takes cylinder pressure signal as main diagnostics signal my be applied, as to the latter, the vibration signal frequency spectrum can be used to diagnose. At the same time, the stutter based on artificial intellectual neural network diagnostics system is introduced and its general chart is given.
机译:根据诊断所采用的信号进行分类三类故障诊断方法。它们是参数方法,振动方法和油分析方法。在本文中,基于正常失败的分析和诱导来讨论这些方法的适用范围和操作困难。建议压缩机的正常故障可分为热力学性能故障和机械功能故障,至于前者,将汽缸压力信号作为主诊断信号的参数方法应用于我的应用,以及后者,振动信号频谱可以用于诊断。同时,引入了基于人工智力神经网络诊断系统的红图,并给出了其一般图表。

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