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A NEW METHOD FOR MULTI-FAULT DIAGNOSIS OF ROTOR SYSTEM

机译:转子系统多故障诊断的新方法

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摘要

A Blind Source Separation (BSS) based new method for multi-fault diagnosis of rotors is presented. The statistic variable based decorrelation approach is employed to analyze the signals of the rotors with crack and rub-impact, crack and oil-whirl multi-faults, the typical features of the frequency spectrum of each fault of the rotor are separated out. The separated results show that (1) the BSS technique is helpful to the multi-fault diagnosis of a rotor system. (2) Due to the signals in the same direction at different locations of a rotor is correlative in some extent, if the observed points are not chosen properly, the separated accuracy will be affected greatly. The analysis shows that: for a one shaft rotor, choosing the signals in x, y direction at a same point of a rotor will lead to a better separated result. (3) If want to applying the BSS to practical diagnosis of rotor system, some efforts and works still need to be done.
机译:提出了一种基于盲源分离(BSS)的转子多故障诊断新方法。采用基于统计变量的去相关方法,对具有裂纹,碰摩,裂纹和油涡流多故障的转子信号进行分析,分离出转子各故障频谱的典型特征。分离的结果表明:(1)BSS技术有助于转子系统的多故障诊断。 (2)由于在转子的不同位置处的相同方向上的信号在某种程度上是相关的,如果不正确选择观察点,则分离精度将受到很大影响。分析表明:对于单轴转子,在转子的同一点选择x,y方向的信号将得到更好的分离结果。 (3)如果要将BSS应用于转子系统的实际诊断,还需要做一些努力和工作。

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